| 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
| 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]