Regression Models for Event History Outcomes

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Documentation for package ‘eventglm’ version 1.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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_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