Nothing
context("b(g)lmer, fixef.prior argument")
test_that("fixef.prior argument raises appropriate errors for blmer fits", {
source(system.file("common", "lmmData.R", package = "blme"))
fit <- blmer(y ~ x.1 + (1 | g.1), testData,
cov.prior = NULL, fixef.prior = NULL, resid.prior = NULL)
parsePrior <- blme:::parsePrior
expect_error(parsePrior(fit, fixef.prior = "normal(common.scale = 'crazy')"))
expect_error(parsePrior(fit, fixef.prior = "normal(cov = diag(3))"))
negDefiniteMatrix <- matrix(c(1, 0, 0, -0.1), 2, 2)
expect_error(parsePrior(fit, fixef.prior = "normal(cov = negDefiniteMatrix)"))
asymmetricMatrix <- matrix(c(1, 0.5, 0.3, 0.7), 2, 2)
expect_error(parsePrior(fit, fixef.prior = "normal(cov = asymmetricMatrix)"))
expect_error(parsePrior(fit, fixef.prior = "t"))
fit <- blmer(y ~ x.1 + (1 | g.1), testData, REML = FALSE,
cov.prior = NULL, fixef.prior = NULL, resid.prior = NULL)
expect_error(parsePrior(fit, fixef.prior = "t(df = 0)"))
expect_error(parsePrior(fit, fixef.prior = "t(scale = c(-1, 2))"))
expect_error(parsePrior(fit, fixef.prior = "horseshoe(global.shrinkage = -1)"))
expect_error(blmer(y ~ x.1 + (1 | g.1), testData, REML = TRUE,
cov.prior = NULL, fixef.prior = t, resid.prior = NULL))
expect_error(blmer(y ~ x.1 + (1 | g.1), testData, REML = TRUE,
cov.prior = NULL, fixef.prior = horseshoe(), resid.prior = NULL))
})
test_that("fixef.prior argument raises appropriate errors for bglmer fits", {
source(system.file("common", "glmmData.R", package = "blme"))
parsePrior <- blme:::parsePrior
bglmerFit <- bglmer(y ~ x.1 + x.2 + (1 | g), testData, family = binomial(),
cov.prior = NULL)
expect_error(parsePrior(bglmerFit, fixef.prior = normal(common.scale = TRUE)))
expect_error(parsePrior(bglmerFit, fixef.prior = t(common.scale = TRUE)))
expect_error(parsePrior(bglmerFit, fixef.prior = horseshoe(common.scale = TRUE)))
})
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