* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘pcts’ ...
** this is package ‘pcts’ version ‘0.15.8’
** package ‘pcts’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘pcts’
finding HTML links ... done
BareCycle-class html
BasicCycle-class html
BuiltinCycle-class html
Cyclic-class html
Cyclic html
FittedPeriodicArModel-class html
FittedPeriodicArmaModel-class html
Fraser2017 html
LegacyPeriodicFilterModel-class html
ModelCycleSpec-class html
PartialCycle-class html
PartialPeriodicAutocorrelations-class html
Pctime html
PeriodicArModel-class html
PeriodicArModel-methods html
PeriodicArmaFilter-class html
PeriodicArmaModel-class html
PeriodicArmaSpec-class html
PeriodicAutocorrelations-class html
PeriodicAutocovariances-class html
PeriodicBJFilter-class html
PeriodicFilterModel-class html
PeriodicIntegratedArmaSpec-class html
PeriodicInterceptSpec-class html
PeriodicMTS-class html
PeriodicMTS_ts-class html
PeriodicMTS_zooreg-class html
PeriodicMaModel-class html
PeriodicSPFilter-class html
PeriodicTS-class html
PeriodicTS_ts-class html
PeriodicTS_zooreg-class html
PeriodicTimeSeries-class html
PeriodicVector-class html
PiPeriodicArModel-class html
PiPeriodicArmaModel-class html
PiPeriodicMaModel-class html
SLTypeMatrix-class html
SamplePeriodicAutocorrelations-class html
SamplePeriodicAutocovariances-class html
SiPeriodicArModel-class html
SiPeriodicArmaModel-class html
SiPeriodicMaModel-class html
SimpleCycle-class html
SubsetPM-class html
Vec html
VirtualPeriodicArModel-class html
VirtualPeriodicArmaModel-class html
VirtualPeriodicAutocorrelations-class html
VirtualPeriodicAutocovarianceModel-class
html
VirtualPeriodicAutocovariances-class html
VirtualPeriodicFilterModel-class html
VirtualPeriodicMaModel-class html
VirtualPeriodicMeanModel-class html
VirtualPeriodicModel-class html
VirtualPeriodicMonicFilter-class html
VirtualPeriodicStationaryModel-class html
VirtualPeriodicWhiteNoiseModel-class html
allSeasons html
as_date-methods html
as_datetime-methods html
autocorrelations-methods html
autocovariances-methods html
availStart html
backwardPartialCoefficients-methods html
backwardPartialVariances-methods html
dataFranses1996 html
date_ass-methods html
ex1f html
filterCoef-methods html
filterPoly-methods html
filterPolyCoef-methods html
fitPM html
fit_trigPAR_optim html
four_stocks_since2016_01_01 html
head-methods html
mC.ss html
maxLag-methods html
mcOptimCore-class html
meanvarcheck html
modelCycle html
nCycles html
nSeasons-methods html
nTicks-methods html
num2pcpar html
parcovmatlist html
partialAutocorrelations-methods html
partialAutocovariances-methods html
partialCoefficients-methods html
partialVariances-methods html
pc.acf2model html
pc.filter html
pc.filter.xarma html
pc.hat.h html
pc.modelunvec html
pc.test.LjungBox html
pc.test.periodicity html
pc.wn.var.acrf html
pcAR2acf html
pcApply-methods html
pcAr.ss html
pcCycle-methods html
pcMean-methods html
pcPlot html
pcTest-methods html
pc_sdfactor html
pcacfMat html
pcalg1 html
pcalg1util html
pcarma_solve html
pclsdf html
pclspiar html
pcts-deprecated html
pcts-methods html
pcts-package html
pcts_exdata html
pcts_reexports html
pdSafeParOrder html
permean2intercept html
permodelmf html
pi1ar2par html
seqSeasons-methods html
sigmaSq-methods html
sim_parAcvf html
sim_parCoef html
sim_pc html
sim_pwn html
sl_utils html
tail-methods html
test_piar html
unitCycle-methods html
unitCycle_ass-methods html
window html
zoo-class html
zooreg-class html
zzbracket-methods html
zzbracket_ass html
zzbracket_bracket-methods html
zzdollar-methods html
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (pcts)