Package index • pmrm

Simulations

pmrm_simulate_decline_nonproportional(): Simulate non-proportional decline model.
pmrm_simulate_decline_proportional(): Simulate proportional decline model.
pmrm_simulate_slowing_nonproportional(): Simulate non-proportional slowing model.
pmrm_simulate_slowing_proportional(): Simulate proportional slowing model.

Models

pmrm_model_decline_nonproportional(): Fit the non-proportional decline model.
pmrm_model_decline_proportional(): Fit the proportional decline model.
pmrm_model_slowing_nonproportional(): Fit the non-proportional slowing model.
pmrm_model_slowing_proportional(): Fit the proportional slowing model.

Visualization

plot(<pmrm_fit>): Plot a fitted PMRM.
print(<pmrm_fit>): Print a fitted PMRM.

Estimates

coef(<pmrm_fit>): Treatment effect parameters
confint(<pmrm_fit>): Confidence intervals of parameters
pmrm_estimates(): Parameter estimates and confidence intervals
pmrm_marginals(): Marginal means
tidy(<pmrm_fit>): Tidy a fitted PMRM.
VarCorr(<pmrm_fit>): Estimated covariance matrix
vcov(<pmrm_fit>): Treatment effect parameter covariance matrix

Predictions

fitted(<pmrm_fit>): Fitted values
predict(<pmrm_fit>): Predict new outcomes
residuals(<pmrm_fit>): pmrm residuals.

Comparison

AIC(<pmrm_fit>): Akaike information criterion (AIC)
BIC(<pmrm_fit>): Bayesian information criterion (BIC)
deviance(<pmrm_fit>): Deviance
glance(<pmrm_fit>): Glance at a PMRM.
logLik(<pmrm_fit>): Extract the log likelihood.
summary(<pmrm_fit>): Summarize a PMRM.