CRAN Package Check Results for Package caschrono

Last updated on 2022-02-09 08:50:38 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.2 9.99 169.28 179.27 WARN
r-devel-linux-x86_64-debian-gcc 2.2 6.36 129.81 136.17 WARN
r-devel-linux-x86_64-fedora-clang 2.2 255.26 WARN
r-devel-linux-x86_64-fedora-gcc 2.2 226.41 WARN
r-devel-windows-x86_64-new-UL 2.2 277.00 307.00 584.00 WARN
r-devel-windows-x86_64-new-TK 2.2 ERROR
r-patched-linux-x86_64 2.2 7.01 177.98 184.99 OK
r-release-linux-x86_64 2.2 6.84 179.76 186.60 OK
r-release-macos-arm64 2.2 OK
r-release-macos-x86_64 2.2 OK
r-release-windows-ix86+x86_64 2.2 31.00 272.00 303.00 OK
r-oldrel-macos-x86_64 2.2 OK
r-oldrel-windows-ix86+x86_64 2.2 28.00 257.00 285.00 OK

Check Details

Version: 2.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building 'Anx1.Rnw' using Sweave
    --- finished re-building 'Anx1.Rnw'
    
    --- re-building 'Anx10.Rnw' using Sweave
    Loading required package: caschrono
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    Loading required package: forecast
    --- finished re-building 'Anx10.Rnw'
    
    --- re-building 'Anx12.Rnw' using Sweave
    Loading required package: fGarch
    Loading required package: timeDate
    Loading required package: timeSeries
    
    Attaching package: 'timeSeries'
    
    The following object is masked from 'package:zoo':
    
     time<-
    
    Loading required package: fBasics
    Loading required package: xtable
    
    Attaching package: 'xtable'
    
    The following object is masked from 'package:timeSeries':
    
     align
    
    The following object is masked from 'package:timeDate':
    
     align
    
    
    Error: processing vignette 'Anx12.Rnw' failed with diagnostics:
     chunk 32 (label = previreal.Loreal)
    Error in .cbind.ts(list(...), .makeNamesTs(...), dframe = FALSE, union = TRUE) :
     non-time series not of the correct length
    
    --- failed re-building 'Anx12.Rnw'
    
    --- re-building 'Anx2.Rnw' using Sweave
    --- finished re-building 'Anx2.Rnw'
    
    --- re-building 'Anx3.Rnw' using Sweave
    --- finished re-building 'Anx3.Rnw'
    
    --- re-building 'Anx4.Rnw' using Sweave
    Loading required package: FitARMA
    Loading required package: FitAR
    Loading required package: lattice
    Loading required package: leaps
    Loading required package: ltsa
    Loading required package: bestglm
    
    Attaching package: 'FitAR'
    
    The following object is masked from 'package:forecast':
    
     BoxCox
    
    Loading required package: polynom
    --- finished re-building 'Anx4.Rnw'
    
    --- re-building 'Anx5.Rnw' using Sweave
    Loading required package: dse
    Loading required package: tfplot
    Loading required package: tframe
    
    Attaching package: 'dse'
    
    The following objects are masked from 'package:forecast':
    
     forecast, is.forecast
    
    The following objects are masked from 'package:stats':
    
     acf, simulate
    
    --- finished re-building 'Anx5.Rnw'
    
    --- re-building 'Anx6.Rnw' using Sweave
    Loading required package: expsmooth
    --- finished re-building 'Anx6.Rnw'
    
    --- re-building 'Anx7.Rnw' using Sweave
    --- finished re-building 'Anx7.Rnw'
    
    --- re-building 'Anx9.Rnw' using Sweave
    --- finished re-building 'Anx9.Rnw'
    
    SUMMARY: processing the following file failed:
     'Anx12.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Version: 2.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
    --- re-building ‘Anx1.Rnw’ using Sweave
    --- finished re-building ‘Anx1.Rnw’
    
    --- re-building ‘Anx10.Rnw’ using Sweave
    Loading required package: caschrono
    Loading required package: zoo
    
    Attaching package: ‘zoo’
    
    The following objects are masked from ‘package:base’:
    
     as.Date, as.Date.numeric
    
    Loading required package: forecast
    --- finished re-building ‘Anx10.Rnw’
    
    --- re-building ‘Anx12.Rnw’ using Sweave
    Loading required package: fGarch
    Loading required package: timeDate
    Loading required package: timeSeries
    
    Attaching package: ‘timeSeries’
    
    The following object is masked from ‘package:zoo’:
    
     time<-
    
    Loading required package: fBasics
    Loading required package: xtable
    
    Attaching package: ‘xtable’
    
    The following object is masked from ‘package:timeSeries’:
    
     align
    
    The following object is masked from ‘package:timeDate’:
    
     align
    
    
    Error: processing vignette 'Anx12.Rnw' failed with diagnostics:
     chunk 32 (label = previreal.Loreal)
    Error in .cbind.ts(list(...), .makeNamesTs(...), dframe = FALSE, union = TRUE) :
     non-time series not of the correct length
    
    --- failed re-building ‘Anx12.Rnw’
    
    --- re-building ‘Anx2.Rnw’ using Sweave
    --- finished re-building ‘Anx2.Rnw’
    
    --- re-building ‘Anx3.Rnw’ using Sweave
    --- finished re-building ‘Anx3.Rnw’
    
    --- re-building ‘Anx4.Rnw’ using Sweave
    Loading required package: FitARMA
    Loading required package: FitAR
    Loading required package: lattice
    Loading required package: leaps
    Loading required package: ltsa
    Loading required package: bestglm
    
    Attaching package: ‘FitAR’
    
    The following object is masked from ‘package:forecast’:
    
     BoxCox
    
    Loading required package: polynom
    --- finished re-building ‘Anx4.Rnw’
    
    --- re-building ‘Anx5.Rnw’ using Sweave
    Loading required package: dse
    Loading required package: tfplot
    Loading required package: tframe
    
    Attaching package: ‘dse’
    
    The following objects are masked from ‘package:forecast’:
    
     forecast, is.forecast
    
    The following objects are masked from ‘package:stats’:
    
     acf, simulate
    
    --- finished re-building ‘Anx5.Rnw’
    
    --- re-building ‘Anx6.Rnw’ using Sweave
    Loading required package: expsmooth
    --- finished re-building ‘Anx6.Rnw’
    
    --- re-building ‘Anx7.Rnw’ using Sweave
    --- finished re-building ‘Anx7.Rnw’
    
    --- re-building ‘Anx9.Rnw’ using Sweave
    --- finished re-building ‘Anx9.Rnw’
    
    SUMMARY: processing the following file failed:
     ‘Anx12.Rnw’
    
    Error: Vignette re-building failed.
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-new-UL

Version: 2.2
Check: running R code from vignettes
Result: ERROR
    Errors in running code in vignettes:
    when running code in 'Anx12.Rnw'
    
    > owidth <- getOption("width")
    
    > options(width = 60, continue = "+ ", warn = -1)
    
    > .PngNo <- 0
    
    > nom.fich = "anx12-bitmap-"
    
    > require(caschrono)
    Loading required package: caschrono
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    > set.seed(1618)
    
    > nobs = 300
    
    > zt = rnorm(nobs + 10)
    
    > sig2 = rep(0, nobs + 10)
    
    > epsil = sig2
    
    > y = sig2
    
    > for (i in 2:(nobs + 10)) {
    + sig2[i] <- 0.1 + 0.9 * epsil[i - 1]^2
    + epsil[i] <- sig2[i]^0.5 * zt[i]
    + y[i] <- 5 + epsil[i]
    + }
    
    > y <- y[-(1:10)]
    
    > require(fGarch)
    Loading required package: fGarch
    Loading required package: timeDate
    Loading required package: timeSeries
    
    Attaching package: 'timeSeries'
    
    The following object is masked from 'package:zoo':
    
     time<-
    
    Loading required package: fBasics
    
    > spec.1 <- garchSpec(model = list(mu = 5, omega = 0.1,
    + alpha = 0.9, beta = 0), rseed = 397)
    
    > archsim.1 <- garchSim(extended = TRUE, spec.1, n = 300,
    + n.start = 10)
    
    > head(archsim.1, 2)
    GMT
     garch sigma eps
    2021-04-14 5.172777 0.3175684 0.5440636
    2021-04-15 4.668813 0.3561837 -0.9298203
    
    > moyenne <- mean(archsim.1[, 1])
    
    > ret <- c(6, 12, 18)
    
    > a1 <- Box.test.2(archsim.1[, 1], ret, type = "Box-Pierce",
    + decim = 8)
    
    > a2 <- Box.test.2((archsim.1[, 1] - moyenne)^2, ret,
    + type = "Box-Pierce", decim = 8)
    
    > a3 <- Box.test.2(archsim.1[, 3]^2, ret, type = "Box-Pierce",
    + decim = 8)
    
    > a123 <- cbind(a1, a2[, 2], a3[, 2])
    
    > colnames(a123) <- c("Retard", "p.val y1", "p.val y1 centre carre",
    + "p.val z_t")
    
    > require(xtable)
    Loading required package: xtable
    
    Attaching package: 'xtable'
    
    The following object is masked from 'package:timeSeries':
    
     align
    
    The following object is masked from 'package:timeDate':
    
     align
    
    
    > xtable(a123, caption = "Test de blancheur, p-values",
    + label = "blanc.y", digits = 4)
    % latex table generated in R 4.2.0 by xtable 1.8-4 package
    % Tue Feb 8 08:10:05 2022
    \begin{table}[ht]
    \centering
    \begin{tabular}{rrrrr}
     \hline
     & Retard & p.val y1 & p.val y1 centre carre & p.val z\_t \\
     \hline
    1 & 6.0000 & 0.0987 & 0.0000 & 0.5416 \\
     2 & 12.0000 & 0.0724 & 0.0000 & 0.8543 \\
     3 & 18.0000 & 0.0656 & 0.0000 & 0.8044 \\
     \hline
    \end{tabular}
    \caption{Test de blancheur, p-values}
    \label{blanc.y}
    \end{table}
    
    > spec <- garchSpec(model = list(mu = 2, omega = 0.09,
    + alpha = c(0.15, 0.3), beta = 0.4), rseed = 9647)
    
    > var.margi = 0.09/(1 - 0.15 - 0.3 - 0.4)
    
    > y = garchSim(spec, n = 420, extended = TRUE)
    
    > y1 = y[21:420, 1]
    
    > m1 = mean(y1)
    
    > (q5 = quantile(abs(y1 - m1), probs = c(0.975, 0.98,
    + 0.985, 0.99, 0.995)))
     97.5% 98% 98.5% 99% 99.5%
    2.965956 3.095066 3.696268 5.500659 6.443857
    
    > extrem985 = which(abs(y1 - m1) > q5[3])
    
    > cat("nombre de points : ", length(extrem985), "\n")
    nombre de points : 6
    
    > y1b = y1
    
    > y1b[extrem985] <- q5[3] * sign(y1[extrem985] - m1)
    
    > mod1 <- garchFit(~garch(2, 1), data = y1b, trace = FALSE,
    + include.mean = TRUE)
    
    > param = c("alpha2", "beta1")
    
    > estim = as.matrix(coef(mod1)[param])
    
    > vcov.par = mod1@fit$cvar[param, param]
    
    > t.alpha = (coef(mod1)["alpha2"] - 0.3)/mod1@fit$se.coef["alpha2"]
    
    > p.val = 2 * pnorm(-abs(t.alpha))
    
    > cat("p-value : ", p.val, "\n")
    p-value : 0.5430931
    
    > theo = as.matrix(c(0.3, 0.4))
    
    > differ = estim - theo
    
    > khi = t(differ) %*% solve(vcov.par) %*% differ
    
    > cat("stat de test et p-value : ", c(khi, 1 - pchisq(khi,
    + df = 2)), "\n")
    stat de test et p-value : 0.942412 0.624249
    
    > data(csdl)
    
    > aa = returns(csdl, percentage = TRUE)
    
    > aab = aa[complete.cases(aa) == TRUE, ]
    
    > r.csdl = zoo(aab, as.POSIXct(row.names(aab)))
    
    > r.lor <- window(r.csdl[, "L_Oreal"], start = "2007-12-28")
    
    > r.lor.0 = r.lor[1:(length(r.lor) - 51)]
    
    > r.lor.1 = r.lor[(length(r.lor) - 50):length(r.lor)]
    
    > require("forecast")
    Loading required package: forecast
    
    > mod.r.lor = Arima(as.numeric(r.lor.0), order = c(0,
    + 0, 4), include.mean = FALSE, fixed = c(NA, NA, 0, NA))
    
    > var.marg.est <- function(mod) {
    + param.estim <- mod@fit$par
    + std.estim <- mod@fit$se.coef
    + k <- which(names(param.estim) == "omega")
     .... [TRUNCATED]
    
    > mod.garch.lor <- garchFit(~garch(1, 1), data = as.numeric(r.lor.0),
    + trace = FALSE, include.mean = TRUE, na.action = na.pass)
    
    > summary(mod.garch.lor)
    
    Title:
     GARCH Modelling
    
    Call:
     garchFit(formula = ~garch(1, 1), data = as.numeric(r.lor.0),
     include.mean = TRUE, trace = FALSE, na.action = na.pass)
    
    Mean and Variance Equation:
     data ~ garch(1, 1)
    <environment: 0x000001b9c157b7f8>
     [data = as.numeric(r.lor.0)]
    
    Conditional Distribution:
     norm
    
    Coefficient(s):
     mu omega alpha1 beta1
    -0.11752 0.41167 0.16990 0.77714
    
    Std. Errors:
     based on Hessian
    
    Error Analysis:
     Estimate Std. Error t value Pr(>|t|)
    mu -0.11752 0.11406 -1.030 0.30285
    omega 0.41167 0.21080 1.953 0.05084 .
    alpha1 0.16990 0.06137 2.768 0.00564 **
    beta1 0.77714 0.06733 11.542 < 2e-16 ***
    ---
    Signif. codes:
    0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
    
    Log Likelihood:
     -740.5119 normalized: -2.271509
    
    Description:
     Tue Feb 8 08:10:06 2022 by user: ContainerUser
    
    
    Standardised Residuals Tests:
     Statistic p-Value
     Jarque-Bera Test R Chi^2 36.86351 9.889845e-09
     Shapiro-Wilk Test R W 0.9821095 0.0004385604
     Ljung-Box Test R Q(10) 25.53336 0.004421175
     Ljung-Box Test R Q(15) 33.02164 0.004661624
     Ljung-Box Test R Q(20) 38.65471 0.007358024
     Ljung-Box Test R^2 Q(10) 6.494036 0.7721907
     Ljung-Box Test R^2 Q(15) 8.542488 0.9002
     Ljung-Box Test R^2 Q(20) 10.21509 0.9641019
     LM Arch Test R TR^2 6.25739 0.902555
    
    Information Criterion Statistics:
     AIC BIC SIC HQIC
    4.567558 4.614023 4.567261 4.586100
    
    
    > var.marg.est(mod.garch.lor)
    variance marginale : 7.772921
    
    > npred = 50
    
    > pred.arima.lor = predict(mod.r.lor, n.ahead = npred)
    
    > pred.garch.lor = predict(mod.garch.lor, n.ahead = npred)
    
    > str(pred.arima.lor)
    List of 2
     $ pred: Time-Series [1:50] from 327 to 376: 0.32 0.779 0.62 -1.004 0 ...
     $ se : Time-Series [1:50] from 327 to 376: 2.36 2.41 2.44 2.44 2.52 ...
    
    > demi = qnorm(0.95) * pred.arima.lor$se
    
    > binf.arima.lor = pred.arima.lor$pred - demi
    
    > bsup.arima.lor = pred.arima.lor$pred + demi
    
    > demi = qnorm(0.95) * pred.garch.lor$standardDeviation
    
    > binf.garch.lor = pred.garch.lor$meanForecast - demi
    
    > bsup.garch.lor = pred.garch.lor$meanForecast + demi
    
    > .PngNo <- .PngNo + 1
    
    > file = paste(nom.fich, .PngNo, sep = "")
    
    > pdf(file = paste(file, ".pdf", sep = ""), width = 7,
    + height = 4, pointsize = 10, bg = "white")
    
    > par(oma = rep(0.5, 4))
    
    > mat.lor = cbind(binf.arima.lor, bsup.arima.lor, binf.garch.lor,
    + bsup.garch.lor, r.lor.1[1:npred])
    
     When sourcing 'Anx12.R':
    Error: non-time series not of the correct length
    Execution halted
    
     'Anx1.Rnw' using 'latin1'... OK
     'Anx10.Rnw' using 'latin1'... OK
     'Anx12.Rnw' using 'latin1'... failed
     'Anx2.Rnw' using 'latin1'... OK
     'Anx3.Rnw' using 'latin1'... OK
     'Anx4.Rnw' using 'latin1'... OK
     'Anx5.Rnw' using 'latin1'... OK
     'Anx6.Rnw' using 'latin1'... OK
     'Anx7.Rnw' using 'latin1'... OK
     'Anx9.Rnw' using 'latin1'... OK
Flavor: r-devel-windows-x86_64-new-TK

Version: 2.2
Check: re-building of vignette outputs
Result: NOTE
    Error(s) in re-building vignettes:
    --- re-building 'Anx1.Rnw' using Sweave
    --- finished re-building 'Anx1.Rnw'
    
    --- re-building 'Anx10.Rnw' using Sweave
    Loading required package: caschrono
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    Loading required package: forecast
    --- finished re-building 'Anx10.Rnw'
    
    --- re-building 'Anx12.Rnw' using Sweave
    Loading required package: fGarch
    Loading required package: timeDate
    Loading required package: timeSeries
    
    Attaching package: 'timeSeries'
    
    The following object is masked from 'package:zoo':
    
     time<-
    
    Loading required package: fBasics
    Loading required package: xtable
    
    Attaching package: 'xtable'
    
    The following object is masked from 'package:timeSeries':
    
     align
    
    The following object is masked from 'package:timeDate':
    
     align
    
    
    Error: processing vignette 'Anx12.Rnw' failed with diagnostics:
     chunk 32 (label = previreal.Loreal)
    Error in .cbind.ts(list(...), .makeNamesTs(...), dframe = FALSE, union = TRUE) :
     non-time series not of the correct length
    
    --- failed re-building 'Anx12.Rnw'
    
    --- re-building 'Anx2.Rnw' using Sweave
    --- finished re-building 'Anx2.Rnw'
    
    --- re-building 'Anx3.Rnw' using Sweave
    --- finished re-building 'Anx3.Rnw'
    
    --- re-building 'Anx4.Rnw' using Sweave
    Loading required package: FitARMA
    Loading required package: FitAR
    Loading required package: lattice
    Loading required package: leaps
    Loading required package: ltsa
    Loading required package: bestglm
    
    Attaching package: 'FitAR'
    
    The following object is masked from 'package:forecast':
    
     BoxCox
    
    Loading required package: polynom
    --- finished re-building 'Anx4.Rnw'
    
    --- re-building 'Anx5.Rnw' using Sweave
    Loading required package: dse
    Loading required package: tfplot
    Loading required package: tframe
    
    Attaching package: 'dse'
    
    The following objects are masked from 'package:forecast':
    
     forecast, is.forecast
    
    The following objects are masked from 'package:stats':
    
     acf, simulate
    
    --- finished re-building 'Anx5.Rnw'
    
    --- re-building 'Anx6.Rnw' using Sweave
    Loading required package: expsmooth
    --- finished re-building 'Anx6.Rnw'
    
    --- re-building 'Anx7.Rnw' using Sweave
    --- finished re-building 'Anx7.Rnw'
    
    --- re-building 'Anx9.Rnw' using Sweave
    --- finished re-building 'Anx9.Rnw'
    
    SUMMARY: processing the following file failed:
     'Anx12.Rnw'
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-windows-x86_64-new-TK