residualplot_step1: residualplot_step1

In hlennon/LCTMtools: Latent Class Trajectory Models: Tools for checking adequacy

residualplot_step1

Description

A wrapper funciton to implement step 1 of the 8 step framework. This is a wrapper fuction to the lcmm/hlme model fit to examine the class-specific residuals in order to aid choice of random effect distribution.

Usage

residualplot_step1(model, nameofoutcome, nameofage, data, ylimit = c(-50,
  50))

Arguments

model	fitted hlme or lcmm model using the lcmm R package
nameofoutcome	Name of the longitudinal variable in the dataset
nameofage	Name of the age variable in the dataset
data	Name of the dataframe (long format) used for the regression fit
type	Type of residual plots: lines (spaghetti) or points

Value

Class-specific residual plots in ggplot style

Examples

library(ggplot2)
data(bmi_long, package = "LCTMtools")
require(lcmm)
model2class <- lcmm::hlme(
  fixed = bmi ~ age,
  mixture = ~age,
  random = ~ -1,
  nwg = TRUE, ng = 2, subject = "id",
  data = data.frame(bmi_long[1:500, ])
)
 residualplot_step1(model2class,
  nameofoutcome = "bmi",
  nameofage = "age",
  data = bmi_long,
)

hlennon/LCTMtools documentation built on Dec. 6, 2022, 3:04 a.m.