Nothing
library(testthat)
library(pcFactorStan)
test_that("unidim", {
skip("Must be checked manually")
df <- twoLevelGraph(letters[1:10], 300)
df <- generateItem(df)
dl <- prepData(df)
dl$scale <- 1
fit <- pcStan("unidim", dl, iter=100, chains=1)
itemModelExplorer(dl, fit, "i1")
})
test_that("correlation", {
skip("Must be checked manually")
numItems <- 3
df <- twoLevelGraph(letters[1:10], 300)
df <- generateCovItems(df, numItems)
dl <- prepData(df)
dl$scale <- rep(1, numItems)
fit <- pcStan("correlation", dl, iter=100, chains=1)
itemModelExplorer(dl, fit, "i3")
})
test_that("factor", {
skip("Must be checked manually")
numItems <- 4
df <- twoLevelGraph(letters[1:10], 300)
df <- generateSingleFactorItems(df, numItems)
dl <- prepData(df)
dl$scale <- rep(1, numItems)
dl$alpha <- rnorm(numItems, .8, .15)
dl <- prepSingleFactorModel(dl, 0.2)
fit <- suppressWarnings(pcStan("factor1", dl, iter=100, chains=1,
include=FALSE,
pars=c('rawUnique', 'rawUniqueTheta', 'rawPerComponentVar',
'rawFactor', 'rawLoadings', 'rawFactorProp', 'rawNegateFactor', 'rawSeenFactor',
'unique', 'uniqueTheta')))
itemModelExplorer(dl, fit, "i3")
})
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