Package: weightQuant 1.0.1

weightQuant: Weights for Incomplete Longitudinal Data and Quantile Regression

Estimation of observation-specific weights for incomplete longitudinal data and bootstrap procedure for weighted quantile regressions. See Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details <doi:10.1177/0962280220909986>.

Authors:Viviane Philipps

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weightQuant.pdf |weightQuant.html✨
weightQuant/json (API)

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

Peer review:

Bug tracker:https://github.com/vivianephilipps/weightquant/issues

Datasets:

On CRAN:

5 exports 1 stars 0.84 score 19 dependencies 3 scripts 1.2k downloads

Last updated 3 years agofrom:f8ae38813e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winNOTESep 01 2024
R-4.5-linuxNOTESep 01 2024
R-4.4-winNOTESep 01 2024
R-4.4-macNOTESep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:bootwrqsummary.bootwrqtest.bootwrqweightsIMDweightsMMD

Dependencies:clicodetoolsdoParallelforeachglueiteratorslatticelifecyclemagrittrMASSMatrixMatrixModelsquantregrlangSparseMstringistringrsurvivalvctrs