Nothing
test_that("get_extreme_monotonic()", {
data <- dreamer_data_linear(n_cohorts = c(10, 20, 30), c(1, 3, 5), 1, 2, 2)
mcmc <- dreamer_mcmc(
data,
mod = model_linear(
mu_b1 = 0,
sigma_b1 = 1,
mu_b2 = 0,
sigma_b2 = 1,
shape = 1,
rate = .01
),
n_iter = 2,
n_chains = 1,
silent = TRUE,
convergence_warn = FALSE
)
lower <- min(attr(mcmc, "doses"))
upper <- max(attr(mcmc, "doses"))
b1 <- 1:2
b2 <- c(- 1, 1)
mcmc <- mcmc %>%
replace_mcmc("mod", "b1", b1) %>%
replace_mcmc("mod", "b2", b2)
obs <- get_extreme_monotonic(
mcmc$mod,
time = NULL,
greater = TRUE,
lower = lower,
upper = upper,
index = NULL
)
exp <- tibble::tibble(doses = c(lower, upper)) %>%
dplyr::mutate(
extreme_responses = b1 + b2 * doses,
greater = TRUE
)
expect_equal(obs, exp)
obs <- get_extreme(
mcmc$mod,
time = NULL,
greater = FALSE,
lower = lower,
upper = upper,
index = NULL
)
exp <- tibble::tibble(doses = c(upper, lower)) %>%
dplyr::mutate(
extreme_responses = b1 + b2 * doses,
greater = FALSE
)
expect_equal(obs, exp)
obs <- get_extreme(
mcmc$mod,
time = NULL,
greater = FALSE,
lower = lower,
upper = upper,
index = 2
)
exp <- tibble::tibble(doses = c(upper, lower)) %>%
dplyr::mutate(
extreme_responses = b1 + b2 * doses,
greater = FALSE
) %>%
dplyr::slice(2)
expect_equal(obs, exp)
})
test_that("get_extreme_monotonic() longitudinal", {
times <- c(0, 10)
t_max <- max(times)
data <- dreamer_data_linear(
n_cohorts = c(10, 25, 30),
dose = c(0, 2, 4),
b1 = .5,
b2 = 3,
sigma = .5,
longitudinal = "linear",
a = .5,
times = times,
t_max = t_max
)
mcmc <- dreamer_mcmc(
data = data,
n_iter = 2,
n_chains = 1,
convergence_warn = FALSE,
silent = TRUE,
mod = model_linear(
mu_b1 = 0,
sigma_b1 = 1,
mu_b2 = 0,
sigma_b2 = 1,
shape = 1,
rate = .01,
longitudinal = model_longitudinal_linear(0, 1, t_max)
)
)
lower <- min(attr(mcmc, "doses"))
upper <- max(attr(mcmc, "doses"))
a <- c(.1, .2)
b1 <- c(1, 5)
b2 <- c(- 1, 1)
mcmc <- mcmc %>%
replace_mcmc("mod", "a", a) %>%
replace_mcmc("mod", "b1", b1) %>%
replace_mcmc("mod", "b2", b2)
time <- 3
obs <- get_extreme_monotonic(
mcmc$mod,
time = time,
greater = TRUE,
lower = lower,
upper = upper,
index = NULL
)
exp <- tibble::tibble(doses = c(lower, upper)) %>%
dplyr::mutate(
extreme_responses = a + (b1 + b2 * doses) * time / t_max,
greater = TRUE
)
expect_equal(obs, exp)
obs <- get_extreme(
mcmc$mod,
time = time,
greater = FALSE,
lower = lower,
upper = upper,
index = NULL
)
exp <- tibble::tibble(doses = c(upper, lower)) %>%
dplyr::mutate(
extreme_responses = a + (b1 + b2 * doses) * time / t_max,
greater = FALSE
)
expect_equal(obs, exp)
obs <- get_extreme(
mcmc$mod,
time = time,
greater = FALSE,
lower = lower,
upper = upper,
index = 2
)
exp <- tibble::tibble(doses = c(upper, lower)) %>%
dplyr::mutate(
extreme_responses = a + (b1 + b2 * doses) * time / t_max,
greater = FALSE
) %>%
dplyr::slice(2)
expect_equal(obs, exp)
})
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