Function reference • eventglm

Main functions Most users will only need to use these functions.
`cumincglm()`	Generalized linear models for cumulative incidence
`rmeanglm()`	Generalized linear models for the restricted mean survival
`eventglm`	Regression Models for Event History Outcomes
Methods S3 methods for objects returned by the main functions
`print(<pseudoglm>)`	Print method for pseudoglm
`residuals(<pseudoglm>)`	Pseudo-observation scaled residuals
`summary(<pseudoglm>)`	Summary method
`vcov(<pseudoglm>)`	Compute covariance matrix of regression coefficient estimates
`confint(<pseudoglm>)`	Confidence Intervals for pseudoglm Model Parameters
Data Built in datasets
`colon`	Chemotherapy for Stage B/C colon cancer
`mgus2`	Monoclonal gammopathy data
Pseudo observation modules Functions implementing methods for computing pseudo observations
`pseudo_independent()`	Compute pseudo observations under independent censoring
`pseudo_stratified()`	Compute pseudo observations using stratified jackknife
`pseudo_aareg()`	Compute censoring weighted pseudo observations
`pseudo_coxph()`	Compute censoring weighted pseudo observations
`pseudo_infjack()`	Compute infinitesimal jackknife pseudo observations
Utilities Utilities and internal functions
`get_pseudo_cuminc()`	Utility to get jackknife pseudo observations of cumulative incidence
`get_pseudo_rmean()`	Utility to get jackknife pseudo observations of restricted mean
`calc_ipcw_pos()`	Compute inverse probability of censoring weights pseudo observations
`match_cause()`	Match cause specification against model response
`check_mod_cens()`	Error check censoring model
`pseudo_rmst2()`	Compute pseudo-observations for the restricted mean survival
`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

Reference

Main functions

Methods

Data

Pseudo observation modules

Utilities