lh: likelihood across all questionnaire items

In susanne-frick/MFCblockInfo: compute block information for multidimensional forced-choice questionnaires

likelihood across all questionnaire items

Description

across items for one person, maximum a posteriori with multivariate normal prior

Usage

lh(
  traitsj,
  lhb.fun,
  responsesj,
  bi,
  bi_int,
  int,
  loads,
  uni,
  m.prior,
  s.prior,
  est = "MAP",
  ...
)

Arguments

traitsj	vector of traits for one person
bi	matrix of block indices as returned from create.block.ind()
bi_int	matrix of intercep indices as returned from create.blocks.int()
int	vector of item intercepts
loads	matrix of item loadings, rows = items, columns = traits
uni	matrix of item uniquenesses
m.prior	vector of means used for multivariate normal prior
s.prior	covariance matrix used for multivariate normal prior
...	other arguments passed to FUN
FUN	function to compute response probability
perms	permutations

Value

list of length N, with entries (block,trait,trait)

susanne-frick/MFCblockInfo documentation built on Oct. 20, 2024, 8:26 p.m.