context("update_rates")
test_that("update_rates", {
trait_pars <- TRAISIERCPP::create_trait_pars(trans_rate = 0.01,
immig_rate2 = 0.02,
ext_rate2 = 0.02,
ana_rate2 = 0.02,
clado_rate2 = 0.02,
trans_rate2 = 0.02,
M2 = 1)
timeval <- 0.01
total_time <- 2
gam = immig_rate1 = 0.01
laa = ana_rate1 = 0.01
lac = clado_rate1 <- 0.01
mu = ext_rate1 <- 0.01
extcutoff = 1000
K <- Inf
num_spec <- 10
num_immigrants <- 10
mainland_n <- 1
island_spec <- rbind(rep("1", 8),
rep("1", 8),
rep("2", 8),
rep("2", 8),
rep("2", 8))
island_spec[, 4] <- "I"
reference_value <- TRAISIERCPP::DAISIE_update_rates_trait(timeval = timeval,
total_time = total_time,
gam = gam,
laa = laa,
lac = lac,
mu = mu,
hyper_pars = TRAISIERCPP::create_hyper_pars(d = 0, x = 0),
extcutoff = extcutoff,
K = K,
num_spec = num_spec,
num_immigrants = num_immigrants,
mainland_n = mainland_n,
trait_pars = trait_pars,
island_spec = island_spec)
# all are immig, so no need to check for column 4
island_spec_R <- rbind(rep(1, 8),
rep(1, 8),
rep(2, 8),
rep(2, 8),
rep(2, 8))
rcpp_value <- TRAISIERCPP::test_update_rates(timeval,
total_time,
gam,
laa,
lac,
mu,
K,
num_spec,
num_immigrants,
mainland_n,
island_spec_R,
trait_pars)
testthat::expect_equal(reference_value$immig_rate,
rcpp_value[[1]])
testthat::expect_equal(reference_value$ext_rate,
rcpp_value[[2]])
testthat::expect_equal(reference_value$ana_rate,
rcpp_value[[3]])
testthat::expect_equal(reference_value$clado_rate,
rcpp_value[[4]])
testthat::expect_equal(reference_value$trans_rate,
rcpp_value[[5]])
testthat::expect_equal(reference_value$immig_rate2,
rcpp_value[[6]])
testthat::expect_equal(reference_value$ext_rate2,
rcpp_value[[7]])
testthat::expect_equal(reference_value$ana_rate2,
rcpp_value[[8]])
testthat::expect_equal(reference_value$clado_rate2,
rcpp_value[[9]])
testthat::expect_equal(reference_value$trans_rate2,
rcpp_value[[10]])
testthat::expect_equal(reference_value$M2,
rcpp_value[[11]])
})
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