fit_bounded_continuous: Fit Bounded Normal Model on Covariate

Description Usage Arguments Value

View source: R/pred.R

Description

This internal function models a covariate using a "bounded normal" distribution by first standardizing the covariate values to the range [0, 1], noninclusive, then fitting a generalized linear model (GLM) under the Gaussian family function.

Usage

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fit_bounded_continuous(
  covparams,
  covlink = NA,
  covname,
  obs_data,
  j,
  model_fits
)

Arguments

covparams

List of vectors, where each vector contains information for one parameter used in the modeling of the time-varying covariates (e.g., model statement, family, link function, etc.).

covlink

Vector of link functions.

covname

Name of the covariate at index j.

obs_data

Data on which the model is fit.

j

Integer specifying the index of the covariate.

model_fits

Logical scalar indicating whether to return the fitted models. The default is FALSE.

Value

Fitted model for the covariate at index j.


gfoRmula documentation built on July 13, 2021, 9:07 a.m.