CRAN Package Check Results for Package lmomco

Last updated on 2023-11-29 15:50:20 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 2.4.11 21.97 227.64 249.61 NOTE
r-devel-linux-x86_64-debian-gcc 2.4.11 24.11 168.46 192.57 NOTE
r-devel-linux-x86_64-fedora-clang 2.4.11 318.87 OK
r-devel-linux-x86_64-fedora-gcc 2.4.11 308.68 OK
r-devel-windows-x86_64 2.4.11 27.00 262.00 289.00 OK
r-patched-linux-x86_64 2.4.11 45.10 217.90 263.00 OK
r-release-linux-x86_64 2.4.11 26.73 219.29 246.02 OK
r-release-macos-arm64 2.4.11 78.00 OK
r-release-macos-x86_64 2.4.11 212.00 OK
r-release-windows-x86_64 2.4.11 37.00 313.00 350.00 OK
r-oldrel-macos-arm64 2.4.11 71.00 OK
r-oldrel-macos-x86_64 2.4.11 93.00 OK
r-oldrel-windows-x86_64 2.4.11 37.00 283.00 320.00 OK

Check Details

Version: 2.4.11
Check: Rd files
Result: NOTE checkRd: (-1) par2qua2lo.Rd:31: Lost braces 31 | Alternatively, the returned value could be a weighting function for subsequent calls as \code{wfunc} to \code{par2qua2lo} (see \bold{Examples}). This alternative operation is triggered by setting \code{wfunc} to an arbitrary character string, and internally the contents of \code{xlo1} and \code{xlo2}, which themselves have to be called as named arguments, are recombined. This means that the \code{xin} and code{xout} are recombined, into their respective samples. Each data point is then categorized with probability zero for the \code{xlo1} values and probability unity for the \code{xlo2} values. A logistic regression is fit using logit-link function for a binomial family using a generalized linear model. The binomial (0 or 1) is regressed as a function of the plotting positions of a sample composed of \code{xlo1} and \code{xlo2}. The coefficients of the regression are extracted, and a function created to predict the probability of event \dQuote{\code{xlo2}}. The \code{attributes} of the computed value inside the function store the coefficients, the regression model, and potentially useful for graphical review, a \code{data.frame} of the data used for the regression. This sounds more complicated than it really is (see source code and \bold{Examples}). | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc