context("Special cases of mkinfit calls")
test_that("mkinfit stops to prevent and/or explain user errors", {
expect_error(mkinfit("foo", FOCUS_2006_A))
expect_error(mkinfit(3, FOCUS_2006_A))
# We get a warning if we use transform_fractions = FALSE with formation fractions
# and an error if any pathway to sink is turned off as well
expect_warning(
expect_error(
mkinfit(SFO_SFO.ff.nosink, FOCUS_D, transform_fractions = FALSE, quiet = TRUE),
"turn off pathways to sink"
),
"sum of formation fractions may exceed one")
expect_error(mkinfit(SFO_SFO.ff, FOCUS_D, transform_fractions = TRUE,
parms.ini = c(f_parent_to_m1 = 0.5), fixed_parms = "f_parent_to_m1", quiet = TRUE),
"not supported")
expect_error(mkinfit(SFO_SFO.ff, FOCUS_D,
parms.ini = c(f_parent_to_m1 = 1.1), quiet = TRUE),
"sum up to more than 1")
expect_error(mkinfit(FOMC_SFO, FOCUS_D, solution_type = "analytical"), "not implemented")
expect_error(mkinfit("FOMC", FOCUS_2006_A, solution_type = "eigen"), "coefficient matrix not present")
})
test_that("mkinfit stops early when a low maximum number of iterations is specified", {
expect_warning(mkinfit("SFO", FOCUS_2006_A, control = list(iter.max = 1), quiet = TRUE),
"iteration limit reached without convergence")
})
test_that("mkinfit warns if a specified initial parameter value is not in the model", {
expect_warning(mkinfit("SFO", FOCUS_2006_A, parms.ini = c(k_xy = 0.1), quiet = TRUE),
"not used in the model")
})
test_that("We get reproducible output if quiet = FALSE", {
# We cannot expect parameter and sum of squares traces to be the same across platforms
skip_on_cran()
skip_on_travis()
expect_known_output(mkinfit("DFOP", FOCUS_2006_C, reweight.method = "tc", trace_parms = TRUE),
file = "DFOP_FOCUS_C_messages.txt")
})
test_that("We get warnings in case of overparameterisation", {
skip_on_cran() # On winbuilder the following fit does not give a warning
skip_on_travis() # Neither on travis
expect_warning(f <- mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE), "not converge")
# We do get Hessians and the related output after the switch to using numDeriv::hessian()
#s2 <- expect_warning(summary(mkinfit("DFOP", FOCUS_2006_A, quiet = TRUE)), "singular system")
})
