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Information about the latest in full featured, a question about camiocam, this study aimed to quickly check on the light of things. Parental control app iphone texting htc 7 pro 16 gb, spyware vs adware vs malware. Which software is used by cops to track phone calls using the IMEI or mobile number? Input arguments A e E e ojet with multiple prmeteristions tht will e sortedF Data tseries strut empty E e dt endogenous vriles nd struturl shoksAY the struturl shoks will e reEordered ording to the e prmeteristionsF ou n leve the input rgument Data emptyF SortBy hr E ext string tht will e evluted to ompute the riterion y whih the prmeteristions will e sortedY see hesription for how to write SortByF PQR.

Description he individul prmeteristions within the e ojet A re sorted y the sum squred distnes of seleted shok responses to the respetive medin reponsesF pormllyD the following riterion is evluted for eh prmeteristion. Example ort the prmeteristions y squred distne to medin of shok responses of ll vriles to the rst shok in the rst four periodsF he prmeteristion tht is losest to the medin responses.

Constructing dummy observations covmat P E govrine mtrix prior dummy oservtions for fesF litterman P E vittermn9s prior dummy oservtions for fesF sumofcoeff P E hon et l sumEofEoe0ient prior dummy oservtions for fesF uncmean P E nonditionlEmen dummy or ims9 initil dummyA oservtions for fesF user P E serEsupplied prior dummy oservtions for fesF. Input arguments C numeri E rior ovrine mtrix of residulsY if C is vetor it will e onverted to digonl mtrixF Rep numeri E he numer of times the dummy oservtions will e repetedF. Filtering and forecasting filter P E eEestimte the ftors y ulmn ltering the dt tking pee oe0ients s givenF forecast P E porest pee ftors nd oservlesF.

Description his funtion retes new empty pee ojetF st is usully followed y the estimte P funtion to estimte the pee prmeters on dtF. Computing special dates daily dates only datbom P E feginning of month for the spei ed dily dteF datboq P E feginning of qurter for the spei ed dily dteF datboy P E feginning of yer for the spei ed dily dteF dateom P E ind of month for the spei ed dily dteF dateoq P E ind of qurter for the spei ed dily dteF dateoy P E ind of yer for the spei ed dily dteF.

Converting dates clp2dat P E gonvert text in system lipord to dtesF dat2char P E gonvert dtes to hrter rryF dat2charlist P E gonvert dtes to ommEseprted listF dat2clp P E gonvert dtes to text nd pste to system lipordF dat2dec P E gonvert dtes to their deiml representtionsF dat2str P E gonvert ss dtes to ell rry of stringsF dat2ypf P E gonvert ss seril dte numer to yerD period nd frequenyF dec2dat P E gonvert deiml numers to ss seril dte numersF str2dat P E gonvert strings to ss seril dte numersF.

Date comparison datcmp P E gompre two ss seril dte numersF datdiff P E xumer of periods etween two dtes with hek for dte frequenyF rngcmp P E gompre two ss dte rngesF. Output arguments D numeri E ss seril dte numers sed on the urrent ontent of the system lipord onverted y the str2dat P funtionF. Output arguments C hr E ghrter rry representing the input dtesY eh line of the rry represents one dte from DF.

Input arguments D numeri E ss seril dte numers tht will e onverted to hrter rry nd psted to the system lipordF. Output arguments C hr E ghrter rry representing the input dtes psted to the system lipordY eh line of the rry represents one dte from DF. Output arguments Boq numeri E hily seril dte numer for the rst dy of the sme qurter s DF. Input arguments startdate numeri E ss seril dte numer representing the strtdteF enddate numeri E ss seril dte numer representing the enddteY startdate nd enddate must e the sme frequenyF increment numeri E xumer of periods spei to eh frequenyA etween the dtes in the dte vetorF.

Description ou n use the olon opertor to rete ontinuous dte rnges euse the ss seril dte numers re designed so tht whtever the frequeny two onseutive dtes re represented y numers tht di'er extly y oneF. Input arguments dec numeri E heiml numers representing dtesF freq freq E hte frequenyF.

Description en ss dte rnge is distint from vetor of dtes in tht only the rst nd the lst dtes mtterF yftenD dte rnges re ontext sensitiveF sn tht seD you n use -Inf for the strt dte mening the erliest possile dte in the given ontextA nd Inf for the end dte mening the ltest possile dte in the given ontextAD or simply Inf for the whole rnge mening from the erliest possile dte to the ltest possile dte in the given ontextAF. Getting information about tseries objects daily P E glendr view of dily tseries ojetF enddate P E hte of the lst ville oservtion in tseries ojetF freq P E prequeny of tseries ojetF get P E uery tseries ojet propertyF length P E vength of tseries ojetF ndims P E xumer of dimensions in tseries ojet dtF size P E ize of tseries ojet dtF startdate P E hte of the rst ville oservtion in tseries ojetF yearly P E hisply tseries ojet one full yer per rowF.

Referencing tseries objects subsasgn P E usripted ssignment for tseries ojetsF subsref P E usripted referene funtion for tseries ojetsF. Estimation and sample characteristics xote tht most of the smple hrteristis re listed ove in the wths nd sttistis funtions nd opertiors setionF acf P E mple utoovrine nd utoorreltion funtionsF hpdi P E righest proility density intervlF chowlin P E ghowEvin distriution of lowEfrequeny oservtions over higherEfrequeny periodsF regress P E yrdinry or weighted lestEsqure regressionF.

Manipulating tseries objects empty P E impty tseries ojet preserving its size in Pnd nd higher dimensionsF permute P E ermute dimensions of tseries ojetF redate P E ghnge time dimension of tseries ojetF reshape P E eshpe size of time series in Pnd nd higher dimensionsF resize P E glip tseries ojet down to spei ed dte rngeF sort P E ort tseries olumns y spei ed riterionF. Converting tseries objects convert P E gonvert tseries ojet to di'erent frequenyF double P E eturn tseries oservtions s douleEpreision numeri rryF doubledata P E gonvert tseries oservtions to doule preisionF single P E eturn tseries oservtions s singleEpreision numeri rryF singledata P E gonvert tseries oservtions to single preisionF PVP.

Other tseries functions apct P E ennulised perent rte of hngeF bsxfun P E tndrd fpx implemented for tseries ojetsF cumsumk P E gumultive sum with kEperiod lepF destdise P E hestndrdise tseries ojet y pplying spei ed stndrd devition nd men to itF diff P E pirst di'ereneF interp P E snterpolte missing oservtionsF normalise P E xormlise or reseA dt to prtiulr dteF pct P E erent rte of hngeF round P E ound tseries dt to spei ed numer of deimlsF rmse P E gompute wi for given oservtions nd preditionsF stdise P E tndrdise tseries dt y sutrting men nd dividing y std devitionF windex P E imple weighted or hivisi indexF wmean P E eighted verge of time series oservtionsF.

Input arguments a numeri E rndle to xes in whih the grph will e plottedY if not spei edD the urrent xes will usedF range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF x tseries E snput tseries ojet whose olumns will e ploted s n re grphF. Output arguments X tseries E yutput dt with new oservtions reted y running n utoregressive proess desried y A nd ZF. Example he following two lines rete n utoregressive proess onstruted from normlly distriuted residulsD.

Output arguments h numeri E rndles to the rs plottedF range numeri E etully plotted dte rngeF. Input arguments Ax numeri E rndle to xes in whih the grph will e plottedY if not spei edD the urrent xes will usedF Range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF X tseries E snput tseries ojet whose olumns will e ploted s ontriution r grphF.

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Input arguments Y1 tseries E vowEfrequeny input tseries ojet tht will e distriuted over higherEfrequeny oservtionsF X2 tseries E series ojet with regressors used to distriute the input dtF range numeri E vowEfrequeny dte rnge on whih the distriution will e omputedF. Description he funtion hndle tht you pss in through the method9 option when you ggregte the dt onvert higher frequeny to lower frequenyA should ehve like the uiltEin funtions meanD sum etF sn other wordsD it is expeted to ept two input rgumentsX the dt to e ggregtedD the dimension long whih the ggregtion is lultedF he funtion will e lled with the seond input rgument set to ID s the dt re proessed en lok olumnwiseF sf this ll filsD convert will ttempt to ll the funtion with just one input rgumentD the dtD ut this is not sfe option under some irumstnes sine dimension mismth my ourF.

Input arguments X tseries E series ojet with indeterminte frequeny whose dte tiks will e interpreted s wtl seril dte numersF. Input arguments x tseries E series ojet whose oservtions will e returned s douleEpreision numeri rryF. Output arguments y numeri E houleEpreision numeri rry with the input tseries oservtions in olumnsF. Input arguments x tseries E series ojet whose oservtions will e e onverted to doule preisionF. Output arguments x tseries E impty tseries ojet with the Pnd nd higher dimensions the sme size s the input tseries ojetD nd omments preservedF.

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The team of HighsterSpy developer used all the latest technology in designing this application. Kids will always be kids, and if you really want to protect them, then you need to start keeping an eye on their mobile activities. Rooting is not required. I would like to thank you for visiting my site. Enable or disable any feature, temporary stop spying, or you can uninstall spy software remotely. So while you are watching their Facebook messages, they could be using this to their advantage, choosing to only do chats that they want kept secret through another messaging app. If you have chosen from anyone of my reviews, You will see a nice, neat display of all information from the monitored device.

Output arguments d numeri E ss seril dte numer representing the dte of the lst oservtion ville in the input tseriesF. Input arguments x tseries E snput tseries ojet tht will e trnsformedF range numeri snf E hte rngeF. Output arguments y numeri E pourier trnsform with dt orgnised in olumnsF range numeri E etully used dte rngeF freq numeri E prequenies orresponding to pp vetor elementsF per numeri E eriodiities orresponding to pp vetor elementsF.

Output arguments int tseries E yutput tseries ojet with two olumnsD iFeF lower ounds nd upper ounds for eh periodF. Output arguments n numeri E xumer of periods from the rst to the lst ville oservtion in the input tseries ojetF. Input arguments X tseries E series ojet on whose oservtions the funtion will e ppliedF Range numeri snf E nge on whih the moving funtion will e ppliedY Inf mens the entire rnge on whih the time series is de nedF. Input arguments x tseries E snput tseries ojet tht will e normlisedF normdate numeri strt9 end9 nnstrt9 nnend9 E hte reltive to whih the input dt will e normlisedY if not spei edD nnstrt9 the rst dte for whih ll olumns hve n oservtionA will e usedF.

Input arguments X tseries E series ojet whose dimensionsD exept the rst timeA dimensionD will e rerrnged in the order spei ed y the vetor orderF Order numeri E xew order of dimensionsY euse the time dimension nnot e permutedD order 1 must e lwys 1F. Input arguments a numeri E rndle to xes in whih the grph will e plottedY if not spei edD the urrent xes will usedF range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF x tseries E snput tseries ojet whose olumns will e ploted s line grphF.

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Output arguments h numeri E rndles to the lines plottedF range numeri E etully plotted dte rngeF. Output arguments H1 numeri E rndles to line ojet showing the time series oservtions the rst olumnD XD in the input dtAF H2 numeri E rndles to line ojets showing the ulmn lter preditions the seond nd further olumnsD YD in the input dtAF H3 numeri E rndles to oneEpoint line ojets displying mrker t the strt of eh lineF. Input arguments Range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF X tseries E snput tseries ojet whose olumns will e plotted nd lelled on the vrF Y tseries E snput tseries ojet whose olumns will e plotted nd lelled on the rF.

Output arguments X tseries E yutput tseries ojet with identil dt s the input tseries ojetD ut with its time dimension hngedF. Input arguments x tseries E series ojet whose dt will e reshped in Pnd ndGor higher dimensionsF newsize numeri E xew size of the tseries ojet dtY the rst dimension timeA must e preservedF.

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Input arguments X tseries E snput tseries ojet whose dte rnge will e lipped downF Range numeri E xew dte rnge to whih the input tseries ojet will e resizedY the rnge n e spei ed s [startDate,endDate] vetor where -Inf nd Inf n e used for the dtesF. Input arguments X tseries E series ojet whose dt will e roundedF Dec numeri E xumer of deimls to whih the tseries dt will e roundedY if not spei edD the dt re rounded to nerest integerF. Description he numer of deimlsD to whih the tseries dt will e roundedD n e positiveD zeroD or negtiveF.

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Input arguments ax numeri E rndle to xes in whih the grph will e plottedY if not spei edD the urrent xes will usedF Range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF XD Y tseries E wo slr tseries ojets plotted on the xExis nd the yExisD respetivelyF. Input arguments x tseries E series ojet whose oservtions will e returned s singleEpreision numeri rryF. Output arguments y numeri E ingleEpreision numeri rry with the input tseries oservtions in olumnsF.

Input arguments x tseries E series ojet whose oservtions will e e onverted to single preisionF. Input arguments X tseries E snput tseries ojet whose olumns will e sorted in order determined y the riterion critF CRIT sumsq9 sums9 mx9 mxs9 min9 mins9 E griterion used to sort the input tseries ojet olumnsF. Input arguments X tseries E snput tseries ojet whose nonExx oservtions will e plotted s mrkersF RANGE tseries E hte rnge on whih the tseries oservtions will e visulisedY if not spei ed the entire ville rnge will e usedF. Output arguments d numeri E ss seril dte numer representing the dte of the rst oservtion ville in the input tseriesF.

Output arguments X tseries E yutput tseries ojet with stndrdised dtF XMeam numeri E istimted men sutrted from the input tseries oservtionsF XStd numeri E istimted std devition y whih the input tseries oservtions hve een dividedF. Input arguments a numeri E rndle to xes in whih the grph will e plottedY if not spei edD the urrent xes will usedF range numeri E hte rngeY if not spei ed the entire rnge of the input tseries ojet will e plottedF x tseries E snput tseries ojet whose olumns will e ploted s stem grphF. Output arguments h numeri E etor of hndles to the stems plottedF range numeri E etully plotted dte rngeF.

Input arguments x tseries E series ojet tht will e ssigned new oservtionsF dates numeri E htes for whih the new oservtions will e ssignedF iD jD kD F F F numeri E eferenes to Pnd nd higher dimensions of the tseries ojetF values numeri E xew oservtions tht will ssigned t spei ed dtesF. Output arguments Y numeri E erry with weighted verge of individul olumnsY the sizes of Y re identil to those of the input tseries ojet in Pnd nd higher dimensionsF. Syntax with mutliple types of output requested [Y1,Y2, Input arguments X tseries E series ojet tht will e displyed one full yer of oservtions per rowF.

Getting information about databases dbnames P E vist of dtse entries ltered y nme ndGor lssF dbprintuserdata P E rint nmes of dtse tseries long with spei ed elds of their userdtF dbrange P E pind rnge tht enompsses the rnges of the listed tseries ojetsF dbsearchuserdata P E erh dtse to nd tseries y mthing the ontent of their userdt eldsF dbuserdatalov P E vist of vlues found in spei ed user dt eld in tseries ojetsF. Converting databases array2db P E gonvert numeri rry to dtseF db2array P E gonvert tseries dtse entries to numeri rryF db2tseries P E gomine tseries dtse entries in one multivrite tseries ojetF.

Batch processing dbbatch P E un th jo to rete new dtse eldsF dbclip P E glip ll tseries entries in dtse down to the spei ed dte rngeF dbcol P E etrieve the spei ed olumn or olumns from dtse entriesF dbfun P E epply funtion to dtse eldsF dbplot P E lot from dtseF dbredate P E edte ll tseries ojets in dtseF. Output arguments X numeri E xumeri rry with oservtions from individul tseries ojets in olumnsF Incl ellstr E vist of tseries nmes tht hve een tully found in the dtseF Range numeri E hte rnge tully usedY this output rgument is useful when the input rgument Range is missing or InfF.

Output arguments D strut E yutput dtseF Processed ellstr E vist of dtse elds tht hve een used to rete new eldsF Added ellstr E vist of new dtse elds reted y evluting Expr on the orresponding eld in ProcessedF. Description his funtion is primrily ment to rete new dtse eldsD eh sed on n existing oneF sf youD on the otherhndD only wish to modify numer of existing elds without dding ny new onesD use dbfun P instedF.

Input arguments D strut E htse or nested dtses with tseries ojetsF Range numeri ell E nge or ell rry of rnges to whih ll tseries ojets will e lippedY multiple rnges n e spei edD eh for di'erent dte frequenyGperiodiityF. Description his funtions looks up ll tseries ojets within the dtse dD inluding tseries ojets nested in suEdtsesD nd uts o' ny vlues preeding the strt dte of Range or following the end dte of rangeF he tseries ojet ommentsD if nyD re preserved in the new dtseF sf tseries entry does not mth the dte frequeny of the input rngeD wrning is thrownF wultiple rnges n e spei ed in Range s ell rryAD eh for di'erent dte frequenyGperiodiity iFeF one or more of the followingX monthlyD iEmonthlyD qurterlyD hlfEyerlyD yerlyD indetermiE nteAF ih tseries entry will e lipped to the rnge tht mthes its dte frequenyF.

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Input arguments D strut E snput dtse with possilyA multivrite tseries ojets nd numeri rrysF K numeri logil end9 E golumn or olumns tht will e retrieved from eh tseries ojet or numeri rry in in the intput dtseD DD nd returned in the output dtseF. Output arguments D strut E yutput dtse with tseries ojets nd numeri rrys redued to the spei ed olumnF. Description sf more thn two dtses re omined then they re proessed oneEyEoneX the rst is omined with the seondD then the result is omined with the thirdD nd so onD using the following rulesX sf two nonEempty tseries ojets with the sme frequeny re ominedD the oservtions re splied togetherF sf some of the oservtions overlp the oservtions from the seond tseries re usedF sf two empty tseries ojets re omined the rst is usedF sf nonEempty tseries is omined with n empty tseriesD the nonEempty one is usedF sf two ojets re omined of whih t lest one is nonEtseries ojetD the seond input ojet is usedF.

Output arguments D strut E yutput dtse whose elds will e reted y pplying Func to eh eld of the input dtse or dtsesF Flag true false E rue if no error ours when evluting the funtionF ErrList ellstr E vist of elds on whih the funtion hs thrown n errorF WarnList ellstr E vist of elds on whih the funtion hs thrown wrningF. Input arguments FName hr ellstr E xme of the snput g dt le or ell rry of g le nmes tht will e ominedF D strut E en existing dtse strutA to whih the new entries from the input g dt le entries will e ddedF.

Output arguments D strut E yutput dtse tht omines entries from ll input dtseY if some entries re found in more thn one input dtsesD the lst ourene is usedF. Input arguments D strut E htse whose tseries ojets will e reportedF Field hr ellstr E xmes of the userdt elds whose ontent will printed if hr or numeri slrAF.

Input arguments D strut E snput dtseF List hr ellstr Inf E vist of tseries ojets tht will e inluded in the rnge serhY Inf mens ll tseries ojets existing in the input dtses will e inludedF. Output arguments Range numeri ell E nge tht enompsses the oservtions of the tseries ojets in the input dtseY if tseries ojets with di'erent frequenies existD the rnges re returned in ell rryF FreqList numeri E etor of dte frequenies oresponding to the returned rngesF.

Output arguments d strut E yutput dtse where ll tseries ojets hve identil dt s in the input dtseD ut with their time dimension hngedF. Input arguments D strut E htse whose tseries nd numeri entries will e svedF FName hr E pilenme under whih the g will e svedD inluding its extensionF Dates numeri Inf htes or dte rnge on whih the tseries ojets will e svedF.

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Input arguments D strut E snput dtse whose tseries elds will e serhedF Flag -all -any E pei es if ll onditions or ny ondition must e met for the series to pss the testY if not spei edD -all is ssumedF QUI. Input arguments InpFile hr E xme of n v input le tht will e onverted to gF OutpFile empty hr E xme of the g output leY if not supplied or emptyD the g le nme will e derived from the v input le nmeF. Example 1 ve the rst worksheets of the following v les to g lesF xls2csv myDataFile. Example 2 ve the worksheet nmed heetQ9 to g leY the nme of the g le will e myDataFile.

Inspecting and maninpulating report objects disp P E hisply the struture of report ojetF display P E hisply the struture of report ojetF findall P E pind ll ojets of given type within report ojetF. Input arguments P strut E eport ojet reted y the report. Description he empty ojet does not produe ny visile output in the reportF st n e used in align P or figure P to rete lnk speF. Description he on dene intervls re sed on norml distriutions with stndrd devitions supplied y the userF yptionllyD the user n lso speify ssumptions out symmetry ndGor ommon orretion ftorsF. Description pigures re topElevel report ojets nd nnot e nested within other report ojetsD exept align P F pigure ojets n hve the following types of hildrenX graph P Y empty P F.

Input arguments P strut E eport ojet reted y the funtion report. Input arguments P report E eport ojet reted y the report. II P E grete new errorr grphF! P E grete new histogrmF!.. P E kip the urrent suplot position leving it lnkF. D followed y wtl ommndsF he ommnds re expeted to eventully rete vrile nmed SET whose vlue will then ssigned to the respetive propertyF he ommnds hve ess to vrile HD hndle to the urrent ojetF.

Input arguments FF numeri strut E rndle to gure window or windowsY or strut tht inludes eld nme figureF Titles ellstr hr E ext string to e entredD or ell rry of strings to e pled on the vrD entredD nd on the r of the gureF. Description he funtion maxfigure uses get ,screenSize to determine the size of the sreenD nd sets the gure property outerPosition ordinglyF. Input arguments Parent numeri E qrphis hndle to prent ojetF Children numeri E qrphis hndle to hildren tht will e moved to the kgroundF.

Input arguments D strut E truture desriing the lol ehviour of the ojetive funtion returned y the neighbourhood P funtionF.

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Description he dt logElikelihood urves re shifted up or down y n ritrry onstnt to mke them t in the grphY their urvture is preservedF. Input arguments XPos9 numeri E rorizontl position or vetor of positions t whih the vertil line or lines will e drwnF H numeri E rndle to n xes ojet grphA or to gure window in whih the the line will e ddedY if not spei ed the line will e dded to the urrent xesF. Input arguments H numeri E rndle to n xes ojet grphA or to gure window in whih the the line will e ddedY if not spei ed the line will e dded to the urrent xesF.

Input arguments YPos9 numeri E ertil position or vetor of positions t whih the horizontl line or lines will e drwnF H numeri E rndle to n xes ojet grphA or to gure window in whih the the horizontl line will e ddedY if not spei ed the line will e dded to the urrent xesF. Read Free For 30 Days. Flag for inappropriate content. Related titles. Xrio Converter Manual Abb Ref v1. Jump to Page. Search inside document. Alias Name Syntax in equations labels Label!! Steady-state version of an equation Syntax Equation!!

Description ee help on! Inverted syntax! Short-cut syntax! Description Example! Syntax returning tseries object Description Example!.. Skip the current subplot position leaving it blank Syntax!.. II Syntax! II Create new errorbar graph Syntax! Engr Fizza Akbar. Ichigo Kurusaki. Arifa Andleeb. Yangon Trader. Junior Reis. Eloy Aguilar Pineda. Rafael Silva. Franz Eigner. Noufal Ansari.

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How it works

Use the full power of mobile tracking software

Monitor messengers

Get the full access to chats and messengers of a tracked device.

Contact us 24/7

Our dedicated support team can be reached via email, chat or phone.

Store your data

Securely store, backup and export your data.

Monitor multiple devices

You can simultaneously monitor smartphones (Android, iOS) and computers (Mac, Windows).

24/7

24/7 global customer support

mSpy treasures every its client and pays much attention to its customer service 24/7.

95%

95% customer satisfaction

Customer satisfaction is the highest priority for mSpy. 95% of mSpy clients declared to be satisfied and ready to reorder our services.

mSpy makes customers happy

  • Once I’ve tried mSpy, it has become an invaluable part of my life as a parent. It lets me be updated with what my kids are doing - this way I’m sure that they’re ok. I also like that I can adjust settings, deciding which contacts, sites or apps to block or allow.

  • mSpy is a nice app that helps me take full charge of my child’s internet activity. I can also block any suspicious contacts, if such occur. A nice choice for modern parents.

  • Safeguarding kids is of key importance for every parent. And mSpy helps me keep an eye on my daughter when I cannot be close to her. I highly recommend it!

  • My son is on his phones 24/7, and sometimes I just need to check that he is not doing anything bad. mSpy lets me be updated with everything he handles with on a regular basis.

  • I’ve looked for a nice app to keep an eye on my kids when I am not around. And a friend of mine recommended me mSpy. I like it! It helps me guardian my children in the stormy sea of internet.

Endorsements

The app is ostensibly intended for legal monitoring use, and there are certainly legitimate reasons to install the software. Companies, for instance, could inform their employees that they’re surveilling company phones for security purposes

The Next Web