weightQuant-package {weightQuant}R Documentation

Weights for incomplete longitudinal data and quantile regression

Description

Functions for the estimation of observation-specific weights for incomplete longitudinal data. A bootstrap method is also provided to obtain standard erros of weighted quantile regressions.

Details

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Package: weightQuant
Type: Package
Version: 1.0.1
Date: 2022-01-05
License: GPL (>= 2.0)

Index:

bootwrq                 Bootstrap procedure for weighted quantile
                        regressions
simdata                 Simulated dataset
summary.bootwrq         Summary of a quantile regression model
test.bootwrq            Test of covariate effects between different
                        quantiles
weightQuant-package     Weights for incomplete longitudinal data and
                        quantile regression
weightsIMD              Estimation of observation-specific weights with
                        intermittent missing data
weightsMMD              Estimation of observation-specific weights with
                        monotone missing data

Author(s)

Viviane Philipps

References

Jacqmin-Gadda H, Rouanet A, Mba RD, Philipps V, Dartigues J-F. Quantile regression for incomplete longitudinal data with selection by death. Statistical Methods in Medical Research. 2020;29(9):2697-2716. doi:10.1177/0962280220909986


[Package weightQuant version 1.0.1 Index]