R: Regression Models for Event History Outcomes

# Regression Models for Event History Outcomes

## Documentation for package ‘eventglm’ version 1.4.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

eventglm-package | Regression Models for Event History Outcomes
calc_ipcw_pos | Compute inverse probability of censoring weights pseudo observations
check_mod_cens | Error check censoring model
colon | Chemotherapy for Stage B/C colon cancer
confint.pseudoglm | Confidence Intervals for pseudoglm Model Parameters
cumincglm | Generalized linear models for cumulative incidence
eventglm | Regression Models for Event History Outcomes
get_pseudo_cuminc | Utility to get jackknife pseudo observations of cumulative incidence
get_pseudo_rmean | Utility to get jackknife pseudo observations of restricted mean
jackknife.competing.risks2 | Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks
jackknife.survival2 | Compute jackknife pseudo-observations of the survival function
leaveOneOut.competing.risks | Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks
leaveOneOut.competing.risks2 | Compute jackknife pseudo-observations of the cause-specific cumulative incidence for competing risks
leaveOneOut.survival | Compute leave one out jackknife contributions of the survival function
leaveOneOut.survival2 | Compute leave one out jackknife contributions of the survival function
match_cause | Match cause specification against model response
mgus2 | Monoclonal gammopathy data
print.pseudoglm | Print method for pseudoglm
pseudo_aareg | Compute censoring weighted pseudo observations
pseudo_coxph | Compute censoring weighted pseudo observations
pseudo_independent | Compute pseudo observations under independent censoring
pseudo_infjack | Compute infinitesimal jackknife pseudo observations
pseudo_rmst2 | Compute pseudo-observations for the restricted mean survival
pseudo_stratified | Compute pseudo observations using stratified jackknife
residuals.pseudoglm | Pseudo-observation scaled residuals
rmeanglm | Generalized linear models for the restricted mean survival
summary.pseudoglm | Summary method
vcov.pseudoglm | Compute covariance matrix of regression coefficient estimates