jointmodeling: Defining the Fixed and Random Models for the Mean and...

Description Usage Arguments

View source: R/jointmodeling.R

Description

The jointmodeling specifies jointly both the hazard model in the frailty model and the mean model in the linear mixed model.

Usage

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jointmodeling(Model = "mean", RespDist = "gaussian", Link = NULL, LinPred = "constant", 
RandDist = NULL, Offset = NULL)

Arguments

Model

This option specifies the mean model when Model="mean" (default).

RespDist

This option specifies the distribution of response variables (linear mixed model: "gaussian" or accelerated failure time model : "AFT" or frailty model : "FM")

Link

The link function for the linear predictor is specified by the option Link. For "AFT" or "FM" (or "gaussian") in RespDist, it is specified by "log" (or "identity").

LinPred

The option LinPred specifies the fixed and random terms for the linear predictor.

RandDist

The option RandDist specifies the distributions of the random terms represented in the option LinPred.

Offset

The option Offset can be used to specify a known component to be included in the linear predictor specified by LinPred during fitting.


frailtyHL documentation built on Dec. 1, 2019, 1:25 a.m.