The np Package - NexTag Supports Open Source Initiatives

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136 seseExtract Standard ErrorsDescriptionse is a generic function which extracts standard errors from objects.Usagese(x)Argumentsxan object for which the extraction of standard errors is meaningful.... other arguments.DetailsThis function provides a generic interface for extraction of standard errors from objects.ValueStandard errors extracted from the model object x.NoteThis method currently only supports objects from the <strong>np</strong> library.Author(s)Tristen Hayfield 〈hayfield@phys.ethz.ch〉, Jeffrey S. Racine 〈racinej@mcmaster.ca〉See Alsofitted, residuals, coef, and gradients, for related methods; <strong>np</strong> for supported objects.Examplesx
uocquantile 137uocquantileCompute QuantilesDescriptionUsageuocquantile is a function which computes quantiles of an unordered, ordered, or continuousvariable x.uocquantile(x, prob)Argumentsxproban ordered, unordered or continuous variable.quantile to compute.DetailsValueuocquantile is a function which computes quantiles of unordered, ordered, or a continuousvariable x. If x is unordered, the mode is returned. If x is ordered, the level for which the cumulativedistribution is >= prob is returned. If x is continuous, quantile is invoked and the result returned.A quantile computed from x.Author(s)See AlsoTristen Hayfield 〈hayfield@phys.ethz.ch〉, Jeffrey S. Racine 〈racinej@mcmaster.ca〉quantileExamplesx
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The np PackageFebruary 16, 2008Vers
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Italy 3Examplesdata("cps71")attach(
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wage1 5Examplesdata("oecdpanel")att
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gradients 7## S3 method for class '
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np 9A variety of bandwidth methods
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npcmstest 11npcmstestKernel Consist
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npcmstest 13ReferencesAitchison, J.
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npcdens 15npcdensKernel Conditional
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npcdens 17Valuenpcdens returns a co
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npcdens 19# Gaussian kernel (defaul
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npcdens 21# (1993) (see their descr
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npcdensbw 23fit
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npcdensbw 25na.actionxdatydatbwspro
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npcdensbw 27data. The approach is b
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npconmode 29# depending on the spee
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npconmode 31tydatexdateydata one (1
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npconmode 33lwt,family=binomial(lin
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npudens 35npudensKernel Density and
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npudens 37Author(s)Tristen Hayfield
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npudens 39# EXAMPLE 1 (INTERFACE=DA
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npudensbw 41library("datasets")data
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npudensbw 43bwsa bandwidth specific
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npudensbw 45fvalobjective function
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npudensbw 47# previous examples.bw
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npudensbw 49# previous examples.bw
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npksum 51Argumentsformuladatanewdat
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npksum 53Usage IssuesIf you are usi
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npksum 55# the bandwidth object its
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npksum 57ss
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npplot 59plot.behavior = c("plot","
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npplot 61xtrim = 0.0,neval = 50,com
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npplot 63xdatydatzdatxqyqzqxtrimytr
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npplot 65DetailsValuenpplot is a ge
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npplot 67year.seq
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npplot 69# npplot(). When npplot()
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npplreg 71## S3 method for class 'c
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npplreg 73residR2MSEMAEMAPECORRSIGN
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npplreg 75# Plot the regression sur
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npplregbw 77and dependent data), an
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npplregbw 79Detailsnpplregbw implem
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npplregbw 81x2
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npqcmstest 83npqcmstestKernel Consi
Page 85 and 86: npqcmstest 85Author(s)Tristen Hayfi
Page 87 and 88: npqreg 87ftol = 1.19209e-07,tol = 1
Page 89 and 90: npqreg 89Li, Q. and J.S. Racine (20
Page 91 and 92: npreg 91Usagenpreg(bws, ...)## S3 m
Page 93 and 94: npreg 93residR2MSEMAEMAPECORRSIGNif
Page 95 and 96: npreg 95summary(model)# Use npplot(
Page 97 and 98: npreg 97# - this may take a few min
Page 99 and 100: npreg 99# then a noisy samplen
Page 101 and 102: npregbw 101## S3 method for class '
Page 103 and 104: npregbw 103ckerorderukertypeokertyp
Page 105 and 106: npregbw 105ReferencesAitchison, J.
Page 107 and 108: npsigtest 107bw
Page 109 and 110: npsigtest 109Author(s)Tristen Hayfi
Page 111 and 112: npindex 111Usagenpindex(bws, ...)##
Page 113 and 114: npindex 113MAEMAPECORRSIGNif method
Page 115 and 116: npindex 115x2
Page 117 and 118: npindex 117# x1 is chi-squared havi
Page 119 and 120: npindexbw 119# plotting via persp()
Page 121 and 122: npindexbw 121methodnmultithe single
Page 123 and 124: npindexbw 123allows one to deploy t
Page 125 and 126: npscoef 125x1
Page 127 and 128: npscoef 127Valueeydatezdaterrorsres
Page 129 and 130: npscoef 129# We could manually plot
Page 131 and 132: npscoefbw 131optim.abstol,optim.max
Page 133 and 134: npscoefbw 133optim.maxattemptsmaxim
Page 135: npscoefbw 135ReferencesAitchison, J
Page 139: INDEX 139npconmode, 29npindex, 110n
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