Nothing
test_that("PPcalibrate gives expected outcomes", {
skip_on_cran()
# Checking
set.seed(15)
n_observed <- 20
n_iter <- 100
n_thin <- 10
calibration_curve <- intcal20
calendar_grid_resolution <- 10
test_rc_sigma <- 15
rc_sigmas <- rep(test_rc_sigma, n_observed)
# Create artificial rc_determinations
calendar_age_range <- c(1800,2150)
observed_age_range <- c(1900,2000)
true_theta <- seq(from = observed_age_range[1],
to = observed_age_range[2],
length = n_observed)
# Value of curve itself
rc_determinations <- approx(x = calibration_curve$calendar_age_BP,
y = calibration_curve$c14_age,
xout = true_theta)$y
PP_fit_output <- PPcalibrate(
rc_determinations = rc_determinations,
rc_sigmas = rc_sigmas,
calibration_curve = calibration_curve,
calendar_age_range = calendar_age_range,
calendar_grid_resolution = calendar_grid_resolution,
n_iter = 1000,
show_progress = FALSE
)
post_n_internal_changes <- PP_fit_output$n_internal_changes # Double
post_rate_h <- PP_fit_output$rate_h # Length is integer
post_rate_s <- PP_fit_output$rate_s
lower_rate_s <- sapply(post_rate_s, function(x) x[1])
upper_rate_s <- sapply(post_rate_s, function(x) x[length(x)])
max_theta <- max(PP_fit_output$calendar_ages)
min_theta <- min(PP_fit_output$calendar_ages)
expect_identical(post_n_internal_changes,
sapply(post_rate_h, length) - 1) # Converts int to double
expect_identical(sapply(post_rate_s, length) - 1L,
sapply(post_rate_h, length))
expect_length(unique(lower_rate_s), 1L)
expect_length(unique(upper_rate_s), 1L)
expect_lt(lower_rate_s[1], min_theta)
expect_gt(upper_rate_s[1], max_theta)
})
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