Package: vcPB 1.1.1

vcPB: Longitudinal PB Varying-Coefficient Groupwise Disparity Model

Estimating the disparity between two groups based on the extended model of the Peters-Belson (PB) method. Our model is the first work on the longitudinal data, and also can set a varying variable to find the complicated association between other variables and the varying variable. Our work is an extension of the Peters-Belson method which was originally published in Peters (1941)<doi:10.1080/00220671.1941.10881036> and Belson (1956)<doi:10.2307/2985420>.

Authors:Sang Kyu Lee [aut, cre], Seonjin Kim [aut], Mi-Ok Kim [aut], Hyokyoung Hong [aut]

vcPB_1.1.1.tar.gz
vcPB_1.1.1.zip(r-4.7-any)vcPB_1.1.1.zip(r-4.6-any)vcPB_1.1.1.zip(r-4.5-any)
vcPB_1.1.1.tgz(r-4.6-any)vcPB_1.1.1.tgz(r-4.5-any)
vcPB_1.1.1.tar.gz(r-4.7-any)vcPB_1.1.1.tar.gz(r-4.6-any)
vcPB_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
vcPB/json (API)

# Install 'vcPB' in R:
install.packages('vcPB', repos = c('https://sangkyustat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sangkyustat/vcpb/issues

Pkgdown/docs site:https://sangkyustat.github.io

On CRAN:

Conda:

2.70 score 231 downloads 2 exports 19 dependencies

Last updated from:0c2628165d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK139
source / vignettesOK194
linux-releaseOK142
macos-releaseOK179
macos-oldrelOK209
windows-develOK70
windows-releaseOK79
windows-oldrelOK83
wasm-releaseOK113

Exports:pbvc.pb

Dependencies:bootdata.tablejsonliteKernSmoothlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlistXMLyaml