R: Model-Based Causal Feature Selection for General Response Types

# Model-Based Causal Feature Selection for General Response Types

## Documentation for package ‘tramicp’ version 0.1-0

- DESCRIPTION file

## Help Pages

bootstrap_stability | Bootstrap stability for TRAMICP
BoxCoxICP | Aliases for implemented model classes
ColrICP | Aliases for implemented model classes
cotramICP | Aliases for implemented model classes
CoxphICP | Aliases for implemented model classes
coxphICP | Aliases for implemented model classes
dgp_dicp | Simple data-generating process for illustrating tramicp
dicp | Model-based causal feature selection for general response types
dicp_controls | TRAMICP Controls
glmICP | Aliases for implemented model classes
implemented_model_classes | Aliases for implemented model classes
invariant_sets | Return invariant sets
LehmannICP | Aliases for implemented model classes
LmICP | Aliases for implemented model classes
lmICP | Aliases for implemented model classes
PolrICP | Aliases for implemented model classes
polrICP | Aliases for implemented model classes
pvalues | Extract set and predictor p-values from tramicp outputs
qrfICP | Aliases for implemented model classes
rangerICP | Aliases for implemented model classes
survforestICP | Aliases for implemented model classes
SurvregICP | Aliases for implemented model classes
survregICP | Aliases for implemented model classes