clprobit: Composite Likelihood for probit latent variable models

In lava.tobit: LVM with censored and binary outcomes

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

Author(s)

Klaus K. Holst

See Also

estimate

lava.tobit documentation built on May 2, 2019, 4:58 p.m.