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context("Fitting the SFORB model")
test_that("Fitting the SFORB model is equivalent to fitting DFOP", {
f_sforb <- mkinfit("SFORB", FOCUS_2006_C, quiet = TRUE)
f_dfop <- mkinfit("DFOP", FOCUS_2006_C, quiet = TRUE)
expect_equivalent(endpoints(f_sforb)$distimes, endpoints(f_dfop)$distimes,
tolerance = 1e-6)
s_sforb_parms <- summary(f_sforb)$SFORB
expect_equivalent(
exp(f_dfop$par["log_k1"]), s_sforb_parms["parent_b1"])
expect_equivalent(
exp(f_dfop$par["log_k2"]), s_sforb_parms["parent_b2"])
expect_equivalent(
plogis(f_dfop$par["g_qlogis"]), s_sforb_parms["parent_g"])
s_sforb <- capture_output(print(summary(f_sforb)))
expect_match(s_sforb, "Estimated Eigenvalues and DFOP g parameter of SFORB model\\(s\\):")
expect_match(s_sforb, "parent_b1 parent_b2")
expect_match(s_sforb, "0.45956 *0.01785")
DFOP_SFO <- mkinmod(parent = mkinsub("DFOP", "M1"),
M1 = mkinsub("SFO"),
use_of_ff = "max", quiet = TRUE)
SFORB_SFO <- mkinmod(parent = mkinsub("SFORB", "M1"),
M1 = mkinsub("SFO"),
use_of_ff = "min", quiet = TRUE)
SFORB_SFO_ff <- mkinmod(parent = mkinsub("SFORB", "M1"),
M1 = mkinsub("SFO"),
use_of_ff = "max", quiet = TRUE)
f_dfop_sfo <- mkinfit(DFOP_SFO, DFOP_par_c, quiet = TRUE)
f_sforb_sfo <- mkinfit(SFORB_SFO, DFOP_par_c, quiet = TRUE)
f_sforb_sfo_ff <- mkinfit(SFORB_SFO_ff, DFOP_par_c, quiet = TRUE)
f_sforb_sfo_eigen <- mkinfit(SFORB_SFO, DFOP_par_c, solution_type = "eigen", quiet = TRUE)
expect_equivalent(endpoints(f_sforb_sfo)$distimes, endpoints(f_dfop_sfo)$distimes,
tolerance = 1e-6)
expect_equivalent(endpoints(f_sforb_sfo_ff)$distimes, endpoints(f_dfop_sfo)$distimes,
tolerance = 1e-6)
expect_equivalent(endpoints(f_sforb_sfo_eigen)$distimes, endpoints(f_dfop_sfo)$distimes,
tolerance = 1e-6)
})
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