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context("Hypothesis tests")
test_that("The lack-of-fit test works and can be reproduced using nls", {
expect_error(loftest(f_1_mkin_trans), "Not defined for fits to data without replicates")
loftest_mkin <- loftest(f_2_mkin)
# This code is a slightly modified version of that given in Ritz and Streibig
# (2008) Nonlinear Regression using R, p. 64
f_2_anova <- lm(value ~ as.factor(time), data = subset(DFOP_par_c, name == "parent"))
Q <- as.numeric(- 2 * (logLik(f_2_nls) - logLik(f_2_anova)))
df.Q <- df.residual(f_2_nls) - df.residual(f_2_anova)
p_nls <- 1 - pchisq(Q, df.Q)
expect_equal(loftest_mkin[["2", "Pr(>Chisq)"]], p_nls, tolerance = 1e-5)
})
test_that("The likelihood ratio test works", {
expect_error(lrtest(f_1_mkin_trans, f_2_mkin), "not been fitted to the same data")
res <- lrtest(fit_nw_1, fit_tc_1)
expect_equal(res[["2", "Pr(>Chisq)"]], 1, tolerance = 1e-4)
})
test_that("We can conveniently fix parameters using 'fixed_parms'", {
f_k2_fixed <- mkinfit("DFOP", FOCUS_2006_C, fixed_parms = c(k2 = 0.05), quiet = TRUE)
expect_equivalent(f_k2_fixed$bparms.ode["k2"], 0.05)
})
test_that("Updating fitted models works", {
skip_on_cran()
f_dfop_tc <- update(f_2_mkin, error_model = "tc")
dfop_sfo_sfo <- mkinmod(
parent = mkinsub("DFOP", to = "A1"),
A1 = mkinsub("SFO", to = "A2"),
A2 = mkinsub("SFO"),
use_of_ff = "max", quiet = TRUE
)
f_soil_1_tc <- mkinfit(dfop_sfo_sfo,
experimental_data_for_UBA_2019[[1]]$data,
error_model = "tc", quiet = TRUE)
f_soil_1_nw <- update(f_soil_1_tc, error_model = "const")
f_soil_1_nw_A2 <- suppressWarnings(update(f_soil_1_nw, fixed_parms = c(k_A2 = 0)))
test_nw_tc <- lrtest(f_soil_1_nw, f_soil_1_tc)
expect_equivalent(test_nw_tc[["2", "Pr(>Chisq)"]], 2.113e-6)
test_nw_A2 <- lrtest(f_soil_1_nw, f_soil_1_nw_A2)
expect_equivalent(test_nw_A2[["2", "Pr(>Chisq)"]], 1, tolerance = 1e-4)
})
test_that("We can do a likelihood ratio test using an update specification", {
# The following commented assignments were made so the update.mkinfit
# function called by lrtest.mkinfit finds these objects when lrtest.mkinfit
# is called by testthat.
# assign("f_2_mkin", f_2_mkin, globalenv())
# assign("DFOP_par_c", DFOP_par_c, globalenv())
# As we should not risk overwriting something in the global environment, we use a
# workaround for these tests.
#test_2_mkin_k2 <- lrtest(f_2_mkin, fixed_parms = c(k2 = 0))
test_2_mkin_k2 <- lrtest(f_2_mkin, update(f_2_mkin, fixed_parms = c(k2 = 0)))
expect_equivalent(test_2_mkin_k2[["2", "Pr(>Chisq)"]], 4.851e-8, tolerance = 1e-8)
#test_2_mkin_tc <- lrtest(f_2_mkin, error_model = "tc")
test_2_mkin_tc <- lrtest(f_2_mkin, update(f_2_mkin, error_model = "tc"))
expect_equivalent(test_2_mkin_tc[["2", "Pr(>Chisq)"]], 7.302e-5, tolerance = 1e-7)
})
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