lava.tobit (version 0.5)

clprobit: Composite Likelihood for probit latent variable models

Description

Estimate parameters in a probit latent variable model via a composite likelihood decomposition.

Usage

clprobit(x, data, k = 2, type = c("nearest", "all"), pairlist,
  silent = TRUE, ...)

Arguments

x

lvm-object

data

data.frame

k

Size of composite groups

type

Determines number of groups. With type="nearest" (default) only neighboring items will be grouped, e.g. for k=2 (y1,y2),(y2,y3),... With type="all" all combinations of size k are included

pairlist

A list of indices specifying the composite groups. Optional argument which overrides k and type but gives complete flexibility in the specification of the composite likelihood

silent

Turn output messsages on/off

…

Additional arguments parsed on to lower-level functions

Value

An object of class clprobit inheriting methods from lvm

See Also

estimate