rmse_calculate: Calculate RMSE for Covariate, Outcome, and Competing Risk...

In CausalInference/gfoRmula: Parametric G-Formula

Calculate RMSE for Covariate, Outcome, and Competing Risk Models

Description

This internal function calculates root mean square error (RMSE) for the covariate (and the outcome and competing event, if applicable) models fit on the observed data.

Usage

rmse_calculate(i, fits, covnames, covtypes)

Arguments

i	Integer specifying the index of fits.
fits	List of fitted models.
covnames	Vector of character strings specifying the names of the time-varying covariates in obs_data.
covtypes	Vector of character strings specifying the "type" of each time-varying covariate included in covnames. The possible "types" are: "binary", "normal", "categorical", "bounded normal", "zero-inflated normal", "truncated normal", "absorbing", "categorical time", and "custom".

Value

The RMSE for the model.

CausalInference/gfoRmula documentation built on Oct. 1, 2024, 8:36 p.m.