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

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