## 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,...)
hlme, lcmm, multlcmm or Jointlcmmcoef, 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.