CRAN Package Check Results for Package InspectChangepoint

Last updated on 2024-11-21 19:52:39 CET.

Flavor	Version	Tinstall	Tcheck	Ttotal	Status	Flags
r-devel-linux-x86_64-debian-clang	1.2	2.48	34.98	37.46	NOTE
r-devel-linux-x86_64-debian-gcc	1.2	1.89	27.00	28.89	NOTE
r-devel-linux-x86_64-fedora-clang	1.2			60.00	NOTE
r-devel-linux-x86_64-fedora-gcc	1.2			58.53	NOTE
r-devel-windows-x86_64	1.2	4.00	74.00	78.00	NOTE
r-patched-linux-x86_64	1.2	2.77	33.23	36.00	NOTE
r-release-linux-x86_64	1.2	1.89	33.74	35.63	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	5.00	67.00	72.00	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	5.00	68.00	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