mmlt-methods: Methods for mmlt Objects

In mlt: Most Likely Transformations

Methods for mmlt Objects

Description

Methods for objects of class mmlt

Usage

## S3 method for class 'mmlt'
weights(object, ...)
## S3 method for class 'mmlt'
logLik(object, parm = coef(object, fixed = FALSE), w = NULL, newdata = NULL, ...)
## S3 method for class 'mmlt'
vcov(object, parm = coef(object, fixed = FALSE), complete = FALSE, ...)
## S3 method for class 'mmlt'
Hessian(object, parm = coef(object, fixed = FALSE), ...)
## S3 method for class 'mmlt'
Gradient(object, parm = coef(object, fixed = FALSE), ...)
## S3 method for class 'mmlt'
estfun(x, parm = coef(x, fixed = FALSE),
       w = NULL, newdata = NULL, ...)
## S3 method for class 'mmlt'
mkgrid(object, ...)
## S3 method for class 'mmlt'
variable.names(object, response_only = FALSE, ...)

Arguments

object, x	a fitted multivariate transformation model as returned by mmlt
fixed	a logical indicating if only estimated coefficients (fixed = FALSE) should be returned OR (for update) a named vector of fixed regression coefficients; the names need to correspond to column names of the design matrix
parm	model parameters
w	model weights
weights	model weights
newdata	an optional data frame of new observations. Allows evaluation of the log-likelihood for a given model object on these new observations. The parameters parm and w are ignored in this situation.
response_only	only return the names of the response variables
complete	currently ignored
...	additional arguments

Details

coef can be used to get and set model parameters, weights and logLik extract weights and evaluate the log-likelihood (also for parameters other than the maximum likelihood estimate). Hessian returns the Hessian (of the negative log-likelihood) and vcov the inverse thereof. Gradient gives the negative gradient (minus sum of the score contributions) and estfun the negative score contribution by each observation. mkgrid generates a grid of all variables (as returned by variable.names) in the model.

mlt documentation built on Sept. 20, 2024, 3 p.m.