relvm_noad: Random Effect Latent Variable Model By Non Adaptive...

In huangrh/relvm: Random Effect Laten Variable Model For Hospital Compare

Random Effect Latent Variable Model By Non Adaptive Quadrature Approximation

Description

Estimate multiple groups of the random effect latent variable model by gauss hermite quadrature.

Usage

relvm_noad(object, groups = NULL, fit = list(qpoints = 30, init = NULL,
  predict = TRUE), file = NULL)

Arguments

object	A mstbl object.
groups	A vector of measure group names. The default is NULL, in which case a vector of all groups will be generated accordingly.
fit	A list of fitting parameters. qpoints: The numbe of the quadrature points. init: Initial values for mu, fl, and err term in a list. fl is the factor loading. They will be initialized generally if it is null. The default is a list with for all mu and one for others. predict: The default is TRUE. adaptive: noad, no adaptive or ad, use adaptive.

Value

An list of S3 object of class "relvm" with estimated parametes.

See Also

mstbl

huangrh/relvm documentation built on Nov. 1, 2024, 9:01 p.m.