Modified Poisson and Least-Squares Regressions for Binary Outcome and Their Generalizations

Documentation for package ‘rqlm’ version 2.3-1

rqlm-package	The 'rqlm' package.
bsci.ls	Calculating bootstrap confidence interval for modified least-squares regression based on the quasi-score statistic
bsci.pois	Calculating bootstrap confidence interval for modified Poisson regression based on the quasi-score statistic
coeff	Computation of the ordinary confidence intervals and P-values using the model variance estimator
exdata01	A simulated example dataset
exdata02	A simulated example dataset
exdata03	A simulated example dataset with missing covariates
mch	A cluster-randomised trial dataset for the maternal and child health handbook
mi_glm	Multiple imputation analysis for the generalized linear model
mi_rqlm	Multiple imputation analysis for modified Poisson and least-squares regressions
qesci.ls	Calculating confidence interval for modified least-squares regression based on the quasi-score test
qesci.pois	Calculating confidence interval for modified Poisson regression based on the quasi-score test
rqlm	Modified Poisson and least-squares regression analyses for binary outcomes