lcmm (version 1.6.6)

plot.lcmm: Plots of marginal and subject-specific residuals

Description

This function displays 2 plots: the marginal residuals against the marginal predictions or the subject-specific residuals against the subject-specific predictions

Usage

## S3 method for class 'hlme':
plot(x,\dots)
## S3 method for class 'lcmm':
plot(x,\dots)
## S3 method for class 'Jointlcmm':
plot(x,\dots)
## S3 method for class 'multlcmm':
plot(x,\dots)

Arguments

x

an object inheriting from classes hlme, lcmm, multlcmm or Jointlcmm, representing respectively a fitted latent class linear mixed model, a more general latent class mixed model or a joint latent class mo

...

other parameters to be passed through to plotting functions

Value

• Returns two plots

See Also

hlme, lcmm, multlcmm, Jointlcmm

Examples

data(data_hlme)
m<-lcmm(Y~Time*X1,mixture=~Time,random=~Time,classmb=~X2+X3,
subject='ID',ng=2,data=data_hlme,B=c(0.41,0.55,-0.18,-0.41,
-14.26,-0.34,1.33,13.51,24.65,2.98,1.18,26.26,0.97))
plot(m)