Nothing
library("testthat")
library("survival")
library("gnm")
context("test-conditionalPoisson.R")
test_that("Check simple SCCS as conditional logistic regression", {
# source("helper-conditionalPoisson.R")
tolerance <- 1E-6
gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford)
dataPtr <- createCyclopsData(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford,
modelType = "clr")
cyclopsFit <- fitCyclopsModel(dataPtr,
prior = createPrior("none"))
expect_equivalent(logLik(cyclopsFit), logLik(gold.clogit))
expect_equal(coef(cyclopsFit), coef(gold.clogit), tolerance = tolerance)
})
test_that("Check simple SCCS as indicator conditional logistic regression", {
# source("helper-conditionalPoisson.R")
tolerance <- 1E-6
gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford)
dataPtr <- createCyclopsData(event ~ strata(indiv) + offset(loginterval),
indicatorFormula = ~ exgr + agegr,
data = Cyclops::oxford,
modelType = "clr")
cyclopsFit <- fitCyclopsModel(dataPtr,
prior = createPrior("none"))
expect_equivalent(logLik(cyclopsFit), logLik(gold.clogit))
expect_equal(coef(cyclopsFit), coef(gold.clogit), tolerance = tolerance)
})
test_that("Check simple SCCS as sparse conditional logistic regression", {
# source("helper-conditionalPoisson.R")
tolerance <- 1E-6
gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford)
dataPtr <- createCyclopsData(event ~ strata(indiv) + offset(loginterval),
sparseFormula = ~ exgr + agegr,
data = Cyclops::oxford,
modelType = "clr")
cyclopsFit <- fitCyclopsModel(dataPtr,
prior = createPrior("none"))
expect_equivalent(logLik(cyclopsFit), logLik(gold.clogit))
expect_equal(coef(cyclopsFit), coef(gold.clogit), tolerance = tolerance)
})
test_that("Check simple SCCS as conditional Poisson regression", {
# source("helper-conditionalPoisson.R")
tolerance <- 1E-3
gold.cp <- gnm(event ~ exgr + agegr + offset(loginterval),
family = poisson, eliminate = indiv,
data = Cyclops::oxford)
dataPtr <- createCyclopsData(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford,
modelType = "cpr")
cyclopsFit <- fitCyclopsModel(dataPtr,
prior = createPrior("none"))
expect_equal(coef(cyclopsFit)[1:2], coef(gold.cp)[1:2], tolerance = tolerance)
expect_equal(confint(cyclopsFit, c("exgr1","agegr2"))[,2:3],
confint(gold.cp), tolerance = tolerance)
})
test_that("Check simple SCCS as SCCS", {
# source("helper-conditionalPoisson.R")
tolerance <- 1E-6
gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv) + offset(loginterval),
data = Cyclops::oxford)
dataPtr <- createCyclopsData(event ~ exgr + agegr + strata(indiv), time = Cyclops::oxford$interval,
data = Cyclops::oxford,
modelType = "sccs")
cyclopsFit <- fitCyclopsModel(dataPtr,
prior = createPrior("none"))
expect_equivalent(logLik(cyclopsFit), logLik(gold.clogit))
expect_equal(coef(cyclopsFit), coef(gold.clogit), tolerance = tolerance)
})
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