clprobit: Composite Likelihood for probit latent variable models

In kkholst/lava.tobit: Latent Variable Models 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

kkholst/lava.tobit documentation built on Sept. 27, 2020, 2:36 p.m.