CRAN Package Check Results for Package longmemo

Last updated on 2020-01-27 00:48:07 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1-1 2.75 38.68 41.43 OK
r-devel-linux-x86_64-debian-gcc 1.1-1 2.38 27.11 29.49 ERROR
r-devel-linux-x86_64-fedora-clang 1.1-1 51.92 OK
r-devel-linux-x86_64-fedora-gcc 1.1-1 50.93 OK
r-devel-windows-ix86+x86_64 1.1-1 10.00 88.00 98.00 OK
r-devel-windows-ix86+x86_64-gcc8 1.1-1 9.00 83.00 92.00 OK
r-patched-linux-x86_64 1.1-1 2.34 36.43 38.77 OK
r-patched-solaris-x86 1.1-1 79.50 OK
r-release-linux-x86_64 1.1-1 2.47 36.38 38.85 OK
r-release-windows-ix86+x86_64 1.1-1 5.00 64.00 69.00 OK
r-release-osx-x86_64 1.1-1 OK
r-oldrel-windows-ix86+x86_64 1.1-1 4.00 80.00 84.00 OK
r-oldrel-osx-x86_64 1.1-1 OK

Additional issues

noLD

Check Details

Version: 1.1-1
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘sfsmisc’
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.1-1
Check: examples
Result: ERROR
    Running examples in ‘longmemo-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: WhittleEst
    > ### Title: Whittle Estimator for Fractional Gaussian Noise / Fractional
    > ### ARIMA
    > ### Aliases: WhittleEst print.WhittleEst nobs nobs.WhittleEst
    > ### Keywords: ts
    >
    > ### ** Examples
    >
    > data(NileMin)
    > (f.Gn.N <- WhittleEst(NileMin)) # H = 0.837
    'WhittleEst' Whittle estimator for fractional Gaussian noise ('fGn'); call:
    WhittleEst(x = NileMin)
     time series of length n = 663.
    
    H = 0.8374209
    coefficients 'eta' =
     Estimate Std. Error z value Pr(>|z|)
    H 0.83742094 0.02602955 32.17193 < 2.22e-16
     <==> d := H - 1/2 = 0.337 (0.026)
    
     $ vcov : num [1, 1] 0.000678
     ..- attr(*, "dimnames")=List of 2
     .. ..$ : chr "H"
     .. ..$ : chr "H"
     $ periodogr.x: num [1:331] 56564 5379 52555 1098 2916 ...
     $ spec : num [1:331] 22306 13972 10627 8752 7528 ...
    > (f.A00.N <- WhittleEst(NileMin, model = "fARIMA", p=0, q=0)) # H = 0.899
    'WhittleEst' Whittle estimator for fractional ARIMA ('fARIMA'); call:
    WhittleEst(x = NileMin, model = "fARIMA", p = 0, q = 0)
    ARMA order (p=0, q=0); time series of length n = 663.
    
    H = 0.8991688
    coefficients 'eta' =
     Estimate Std. Error z value Pr(>|z|)
    H 0.89916883 0.03044038 29.53869 < 2.22e-16
     <==> d := H - 1/2 = 0.399 (0.03)
    
     $ vcov : num [1, 1] 0.000927
     ..- attr(*, "dimnames")=List of 2
     .. ..$ : chr "H"
     .. ..$ : chr "H"
     $ periodogr.x: num [1:331] 56564 5379 52555 1098 2916 ...
     $ spec : num [1:331] 32127 18473 13365 10623 8890 ...
    > confint(f.Gn.N)
     2.5 % 97.5 %
    H 0.786404 0.8884379
    > confint(f.A00.N)
     2.5 % 97.5 %
    H 0.8395068 0.9588309
    >
    > data(videoVBR)
    > (f.GN <- WhittleEst(videoVBR))
    'WhittleEst' Whittle estimator for fractional Gaussian noise ('fGn'); call:
    WhittleEst(x = videoVBR)
     time series of length n = 1000.
    
    H = 0.9899496
    coefficients 'eta' =
     Estimate Std. Error z value Pr(>|z|)
    H 0.98994955 0.02150389 46.03584 < 2.22e-16
     <==> d := H - 1/2 = 0.49 (0.022)
    
     $ vcov : num [1, 1] 0.000462
     ..- attr(*, "dimnames")=List of 2
     .. ..$ : chr "H"
     .. ..$ : chr "H"
     $ periodogr.x: num [1:499] 5145 22812 40031 7476 33737 ...
     $ spec : num [1:499] 16986 8612 5788 4366 3509 ...
    >
    > ## similar {but faster !}:
    > (f.am00 <- WhittleEst(videoVBR, model = "fARIMA", p=0, q=0))
    'WhittleEst' Whittle estimator for fractional ARIMA ('fARIMA'); call:
    WhittleEst(x = videoVBR, model = "fARIMA", p = 0, q = 0)
    ARMA order (p=0, q=0); time series of length n = 1000.
    
    H = 0.9899576
    coefficients 'eta' =
     Estimate Std. Error z value Pr(>|z|)
    H 0.98995757 0.02478602 39.94015 < 2.22e-16
     <==> d := H - 1/2 = 0.49 (0.025)
    
     $ vcov : num [1, 1] 0.000614
     ..- attr(*, "dimnames")=List of 2
     .. ..$ : chr "H"
     .. ..$ : chr "H"
     $ periodogr.x: num [1:499] 5145 22812 40031 7476 33737 ...
     $ spec : num [1:499] 15814 8018 5389 4065 3267 ...
    > rbind(f.am00$coef,
    + f.GN $coef)# really similar
     Estimate Std. Error z value Pr(>|z|)
    H 0.9899576 0.02478602 39.94015 0
    H 0.9899496 0.02150389 46.03584 0
    >
    > f.am11 <- WhittleEst(videoVBR, model = "fARIMA",
    + start= list(H= .5, AR = .5, MA= .5))
    > f.am11
    'WhittleEst' Whittle estimator for fractional ARIMA ('fARIMA'); call:
    WhittleEst(x = videoVBR, model = "fARIMA", start = list(H = 0.5,
     AR = 0.5, MA = 0.5))
    ARMA order (p=1, q=1); time series of length n = 1000.
    
    H = 0.950087
    coefficients 'eta' =
     Estimate Std. Error z value Pr(>|z|)
    H 0.95008698 0.09652219 9.84320 < 2.22e-16
    AR 0.67345045 0.08513683 7.91021 2.5695e-15
    MA 0.29096113 0.04087322 7.11863 1.0901e-12
     <==> d := H - 1/2 = 0.45 (0.097)
    
     $ vcov : num [1:3, 1:3] 0.00932 -0.00773 -0.00156 -0.00773 0.00725 ...
     ..- attr(*, "dimnames")=List of 2
     .. ..$ : chr [1:3] "H" "AR" "MA"
     .. ..$ : chr [1:3] "H" "AR" "MA"
     $ periodogr.x: num [1:499] 5145 22812 40031 7476 33737 ...
     $ spec : num [1:499, 1] 67174 35966 24936 19213 15681 ...
    > vcov(f.am11)
     H AR MA
    H 0.009316534 -0.0077260165 -0.0015633632
    AR -0.007726017 0.0072482799 0.0006527909
    MA -0.001563363 0.0006527909 0.0016706198
    >
    > op <- if(require("sfsmisc"))
    + mult.fig(3, main = "Whittle Estimators for videoVBR data")$old.par else
    + par(mar = c(3,1), mgp = c(1.5, 0.6, 0), mar = c(4,4,2,1)+.1)
    Loading required package: sfsmisc
    Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
     there is no package called ‘sfsmisc’
    Error in par(mar = c(3, 1), mgp = c(1.5, 0.6, 0), mar = c(4, 4, 2, 1) + :
     graphical parameter "mar" has the wrong length
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.1-1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘BspecFGN.Rnw’ using Sweave
    Loading required package: longmemo
    
    Error: processing vignette 'BspecFGN.Rnw' failed with diagnostics:
     chunk 4 (label = curve-fB)
    Error in loadNamespace(name) : there is no package called 'sfsmisc'
    
    --- failed re-building 'BspecFGN.Rnw'
    
    SUMMARY: processing the following file failed:
     'BspecFGN.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc