Learn R Programming

lcmm (version 1.7.4)

methods: Standard methods for estimated models

Description

coef, vcov, fixef, ranef, fitted and residuals methods for estimated hlme, lcmm, mutlcmm and Jointlcmm models.

Usage

## S3 method for class 'hlme':
coef(object,...)
## S3 method for class 'lcmm':
coef(object,...)
## S3 method for class 'Jointlcmm':
coef(object,...)
## S3 method for class 'multlcmm':
coef(object,...)

## S3 method for class 'hlme': vcov(object,...) ## S3 method for class 'lcmm': vcov(object,...) ## S3 method for class 'Jointlcmm': vcov(object,...) ## S3 method for class 'multlcmm': vcov(object,...)

## S3 method for class 'hlme': fixef(object,...) ## S3 method for class 'lcmm': fixef(object,...) ## S3 method for class 'Jointlcmm': fixef(object,...) ## S3 method for class 'multlcmm': fixef(object,...)

## S3 method for class 'hlme': ranef(object,...) ## S3 method for class 'lcmm': ranef(object,...) ## S3 method for class 'Jointlcmm': ranef(object,...) ## S3 method for class 'multlcmm': ranef(object,...)

## S3 method for class 'hlme': fitted(object,...) ## S3 method for class 'lcmm': fitted(object,...) ## S3 method for class 'Jointlcmm': fitted(object,...) ## S3 method for class 'multlcmm': fitted(object,...)

## S3 method for class 'hlme': residuals(object,...) ## S3 method for class 'lcmm': residuals(object,...) ## S3 method for class 'Jointlcmm': residuals(object,...) ## S3 method for class 'multlcmm': residuals(object,...)

Arguments

object
an object of class hlme, lcmm, multlcmm or Jointlcmm
...
other arguments. There are ignored in these functions.

Value

  • For coef, the vector of the estimates.

    For vcov, the variance-covariance matrix of the estimates.

    For fixef : - for hlme, lcmm and multlcmm objects, a list containing the fixed effects estimates in the class-membership model and in the longitudinal model. - for Jointlcmm objects, a list containing the fixed effects estimates in the class-membership model, the survival model and in the longitudinal model. For ranef, a matrix (nrow=number of subjects, ncol=number of covariates with random effect) containing the individual random effects.

    For fitted, a vector containing the subject-specific predictions extracted from object.

    For residuals, a vector containing the subject-specific residuals extracted from object.