coef.rctglm |
Methods for objects of class 'rctglm' |
default_learners |
Creates a list of learners |
est |
Methods for objects of class 'rctglm' |
estimand |
Methods for objects of class 'rctglm' |
estimand.rctglm |
Methods for objects of class 'rctglm' |
fit_best_learner |
Find the best learner in terms of RMSE among specified learners using cross validation |
glm_data |
Generate data simulated from a GLM |
options |
postcard Options |
power_gs |
Power and sample size estimation for linear models |
power_linear |
Power and sample size estimation for linear models |
power_marginaleffect |
Power approximation for estimating marginal effects in GLMs |
power_nc |
Power and sample size estimation for linear models |
print.rctglm |
Methods for objects of class 'rctglm' |
prog |
Extract information about the fitted prognostic model |
prog.rctglm_prog |
Extract information about the fitted prognostic model |
rctglm |
Fit GLM and find any estimand (marginal effect) using plug-in estimation with variance estimation using influence functions |
rctglm_methods |
Methods for objects of class 'rctglm' |
rctglm_with_prognosticscore |
Use prognostic covariate adjustment when fitting an rctglm |
samplesize_gs |
Power and sample size estimation for linear models |
variance_ancova |
Power and sample size estimation for linear models |