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library(mkin)
library(testthat)
context("Special cases of mkinfit calls")
SFO_SFO.ff.nosink <- mkinmod(
parent = mkinsub("SFO", "m1", sink = FALSE),
m1 = mkinsub("SFO"), quiet = TRUE, use_of_ff = "max")
SFO_SFO.ff <- mkinmod(
parent = mkinsub("SFO", "m1"),
m1 = mkinsub("SFO"), quiet = TRUE, use_of_ff = "max")
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_2006_D, transform_fractions = FALSE, quiet = TRUE),
"turn off pathways to sink"
),
"sum of formation fractions")
expect_error(mkinfit(SFO_SFO.ff, FOCUS_2006_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_2006_D,
parms.ini = c(f_parent_to_m1 = 1.1), quiet = TRUE),
"sum up to more than 1")
expect_error(mkinfit(SFO_SFO.ff, FOCUS_2006_D, solution_type = "analytical"), "not implemented")
expect_error(mkinfit("FOMC", FOCUS_2006_A, solution_type = "eigen"), "coefficient matrix not present")
# We suppress a message stemming from the interrupted call to system.time()
expect_error(suppressMessages(mkinfit("SFO", FOCUS_2006_A, reweight.method =
"foo", quiet = TRUE), "implemented"))
})
test_that("mkinfit stops early when a low maximum number of iterations is specified", {
expect_warning(mkinfit("SFO", FOCUS_2006_A, maxit.modFit = 1, quiet = TRUE))
expect_warning(mkinfit("SFO", FOCUS_2006_A, maxit.modFit = 1, quiet = TRUE, method.modFit = "Marq"))
})
test_that("mkinfit warns if the user chooses the SANN method", {
expect_warning(mkinfit("SFO", FOCUS_2006_A, method.modFit = "SANN", maxit.modFit = 10, quiet = TRUE))
skip("The SANN algorithm takes very long with the default maximum number of iterations of 10000")
expect_warning(mkinfit("SFO", FOCUS_2006_A, method.modFit = "SANN"))
})
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))
})
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", {
expect_warning(f <- mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE), "not converge")
s2 <- expect_warning(summary(mkinfit("DFOP", FOCUS_2006_A, quiet = TRUE)), "singular system")
})
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