context("tests the processPopSizes function")
test_that("processes population size output", {
file_popsizes_constant <-
system.file("extdata",
"pop_size/horses_constant_popsizes_mini.p",
package = "RevGadgets")
file_popsizes_CPP <-
system.file("extdata",
"pop_size/horses_CPP_popsizes_mini.p",
package = "RevGadgets")
file_changepoints_CPP <-
system.file("extdata",
"pop_size/horses_CPP_times_mini.p",
package = "RevGadgets")
file_popsizes_GMRF <-
system.file("extdata",
"pop_size/horses_GMRF_popsizes_mini.p",
package = "RevGadgets")
file_changepoints_GMRF <-
system.file("extdata",
"pop_size/horses_GMRF_times_mini.p",
package = "RevGadgets")
constant <- processPopSizes(
population_size_log = file_popsizes_constant,
)
CPP <- processPopSizes(
population_size_log = file_popsizes_CPP,
interval_change_points_log = file_changepoints_CPP,
num_grid_points = 200
)
GMRF <- processPopSizes(
population_size_log = file_popsizes_GMRF,
interval_change_points_log = file_changepoints_GMRF,
burnin = 0,
spacing = "equal",
min_age = 0,
max_age = 300000,
distribution = TRUE
)
expect_equal(ncol(constant), 4)
expect_equal(class(constant), c("tbl_df", "tbl", "data.frame"))
expect_equal(nrow(constant), 100)
expect_equal(max(constant$time), 1e5)
expect_equal(constant$value[1], 313240.8)
expect_equal(ncol(CPP), 4)
expect_equal(class(CPP), c("tbl_df", "tbl", "data.frame"))
expect_equal(nrow(CPP), 200)
expect_equal(max(CPP$time), 466634)
expect_equal(round(CPP$value[c(1,200)]), c(505782, 27198800))
expect_equal(ncol(GMRF), 11)
expect_equal(class(GMRF), c("matrix", "array"))
expect_equal(nrow(GMRF), 100)
expect_equal(GMRF[1,], c(545066, 465357, 603280, 394040, 682751, 535117, 519354, 535540, 502588, 729053, 737713))
expect_equal(GMRF[100,], c(601042, 375759, 137952, 344189, 312312, 547615, 405185, 347487, 498597, 126805, 635706))
})
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