CRAN Package Check Results for Package InspectChangepoint

Last updated on 2024-12-25 05:48:36 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.2 2.22 34.61 36.83 NOTE
r-devel-linux-x86_64-debian-gcc 1.2 1.62 26.77 28.39 NOTE
r-devel-linux-x86_64-fedora-clang 1.2 59.10 NOTE
r-devel-linux-x86_64-fedora-gcc 1.2 60.61 NOTE
r-devel-windows-x86_64 1.2 3.00 68.00 71.00 NOTE
r-patched-linux-x86_64 1.2 2.37 33.42 35.79 NOTE
r-release-linux-x86_64 1.2 2.35 33.54 35.89 NOTE
r-release-macos-arm64 1.2 22.00 NOTE
r-release-macos-x86_64 1.2 37.00 NOTE
r-release-windows-x86_64 1.2 4.00 65.00 69.00 NOTE
r-oldrel-macos-arm64 1.2 23.00 OK
r-oldrel-macos-x86_64 1.2 34.00 OK
r-oldrel-windows-x86_64 1.2 4.00 69.00 73.00 OK

Check Details

Version: 1.2
Check: Rd files
Result: NOTE checkRd: (-1) inspect.Rd:35: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) inspect.Rd:36: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) single.change.Rd:25: Lost braces; missing escapes or markup? 25 | \item{noise}{Noise structure of the multivarite time series. For noise = 0, 0.5, 1, columns of W have independent multivariate normal distribution with covariance matrix Sigma. When noise = 0, Sigma = sigma^2 * I_p; when noise = 0.5, noise has local dependence structure given by Sigma_{i,j} = sigma*corr^|i-j|; when noise = 1, noise has global dependence structure given by matrix(corr,p,p)+diag(p)*(1-corr))) * sigma. When noise = 2, rows of the W are independent and each having an AR(1) structure given by W_{j,t} = W_{j,t-1} * sqrt(corr) + rnorm(sd = sigma) * sqrt(1-corr). For noise = 3, 4, entries of W have i.i.d. uniform distribution and exponential distribution respectively, each centred and rescaled to have zero mean and variance sigma^2.} | ^ checkRd: (-1) single.change.Rd:25: Lost braces; missing escapes or markup? 25 | \item{noise}{Noise structure of the multivarite time series. For noise = 0, 0.5, 1, columns of W have independent multivariate normal distribution with covariance matrix Sigma. When noise = 0, Sigma = sigma^2 * I_p; when noise = 0.5, noise has local dependence structure given by Sigma_{i,j} = sigma*corr^|i-j|; when noise = 1, noise has global dependence structure given by matrix(corr,p,p)+diag(p)*(1-corr))) * sigma. When noise = 2, rows of the W are independent and each having an AR(1) structure given by W_{j,t} = W_{j,t-1} * sqrt(corr) + rnorm(sd = sigma) * sqrt(1-corr). For noise = 3, 4, entries of W have i.i.d. uniform distribution and exponential distribution respectively, each centred and rescaled to have zero mean and variance sigma^2.} | ^ checkRd: (-1) single.change.Rd:25: Lost braces; missing escapes or markup? 25 | \item{noise}{Noise structure of the multivarite time series. For noise = 0, 0.5, 1, columns of W have independent multivariate normal distribution with covariance matrix Sigma. When noise = 0, Sigma = sigma^2 * I_p; when noise = 0.5, noise has local dependence structure given by Sigma_{i,j} = sigma*corr^|i-j|; when noise = 1, noise has global dependence structure given by matrix(corr,p,p)+diag(p)*(1-corr))) * sigma. When noise = 2, rows of the W are independent and each having an AR(1) structure given by W_{j,t} = W_{j,t-1} * sqrt(corr) + rnorm(sd = sigma) * sqrt(1-corr). For noise = 3, 4, entries of W have i.i.d. uniform distribution and exponential distribution respectively, each centred and rescaled to have zero mean and variance sigma^2.} | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64