R: Estimating Marginal Effects with Prognostic Covariate Adjustment

# Estimating Marginal Effects with Prognostic Covariate Adjustment

## Documentation for package ‘postcard’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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
plot.postcard_rpl | Create data and plot power curves calculated using functions in 'power_linear()' for a list of formulas/models
plot.postcard_rpm | Create data and plot power curves calculated using 'power_marginaleffect()' for a list of models
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
predict.rctglm | Methods for objects of class 'rctglm'
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
repeat_power_linear | Create data and plot power curves calculated using functions in 'power_linear()' for a list of formulas/models
repeat_power_marginaleffect | Create data and plot power curves calculated using 'power_marginaleffect()' for a list of models
samplesize_gs | Power and sample size estimation for linear models
variance_ancova | Power and sample size estimation for linear models