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 |