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-4.5)vcPB_1.1.1.zip(r-4.4)vcPB_1.1.1.zip(r-4.3)
vcPB_1.1.1.tgz(r-4.4-any)vcPB_1.1.1.tgz(r-4.3-any)
vcPB_1.1.1.tar.gz(r-4.5-noble)vcPB_1.1.1.tar.gz(r-4.4-noble)
vcPB_1.1.1.tgz(r-4.4-emscripten)vcPB_1.1.1.tgz(r-4.3-emscripten)
vcPB.pdf |vcPB.html
vcPB/json (API)
NEWS

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

Peer review:

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

On CRAN:

2 exports 1.33 score 16 dependencies 161 downloads

Last updated 5 months agofrom:0c2628165d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:pbvc.pb

Dependencies:bootdata.tablejsonliteKernSmoothlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigenrlistXMLyaml