R: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations

# Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations

## Documentation for package ‘geecure’ version 1.0-6

- DESCRIPTION file

## Help Pages

geecure-package | Marginal proportional hazards mixture cure models with generalzied estimating equations
basesurv | Estimation of the baseline survival function
bmt | Bone marrow transplantation data
emes | Expectation-Maximization (EM) algorithm and Expectation-Solution (ES) algorithm
es | Expectation-Solution (ES) algorithm
geebt | Generalized estimating equations for the latency part
geecure | Marginal proportional hazards mixture cure model with generalzied estimating equations
geecure2 | Semiparametric marginal proportional hazards mixture cure model
geega | Generalized estimating equations for the incidence part
initial_Lambda | Initial value of the cumulative baseline hazard function
print.geecure | Print geecure object
print.geecure2 | Print geecure2 object
smoking | A Smoking Cessation Data
tonsil | Multi-Center Clinical Trial of Tonsil Carcinoma
tonsil_bootsample | A bootstrap sample for tonsil data
varest | Variance estimate with sandwich formula based on the ES algorithm
varest2 | Variance estimate with sandwich formula based on the EM algorithm