Nothing
library(dplyr)
set.seed(123)
test.fit <- stan_emax_binary(
y ~ conc,
data = exposure.response.sample.binary,
chains = 1, iter = 1000, seed = 12345, refresh = 0
)
test.fit2 <- stan_emax_binary(
formula = y ~ conc, data = exposure.response.sample.binary,
param.cov = list(emax = "sex"),
chains = 1, iter = 1000, seed = 12345, refresh = 0
)
# Test ------------------------------------------------------------------------
test_that("emax model run", {
coef.stan <- rstan::summary(test.fit$stanfit, pars = c("e0", "emax", "ec50"))$summary[, 6]
expect_is(test.fit, "stanemaxbin")
expect_equal(dim(test.fit$stanfit), c(500, 1, 714))
expect_equal(coef.stan, c(`e0[1]` = -1.3, `emax[1]` = 2.9, `ec50[1]` = 190), tolerance = 0.1)
coef.stan <- rstan::summary(test.fit2$stanfit, pars = c("e0", "emax", "ec50"))$summary[, 6]
expect_is(test.fit, "stanemaxbin")
expect_equal(dim(test.fit$stanfit), c(500, 1, 714))
expect_equal(coef.stan, c(`e0[1]` = -1.2, `emax[1]` = 3.4, `emax[2]` = 2.1, `ec50[1]` = 190), tolerance = 0.1)
})
test_that("posterior prediction with original data", {
set.seed(1234)
test.pp.matrix <- posterior_predict(test.fit2)
test.pp.df <- suppressWarnings(
posterior_predict(test.fit2, returnType = "dataframe")
)
expect_is(test.pp.matrix, "matrix")
expect_is(test.pp.df, "data.frame")
expect_equal(dim(test.pp.matrix), c(500, 101))
expect_equal(nrow(test.pp.df), 50500)
expect_equal(mean(test.pp.matrix[, 1]), 0.23, tolerance = 0.1)
expect_equal(mean(test.pp.matrix[, 90]), 0.86, tolerance = 0.1)
})
test_that("print.stanemaxbin works correctly", {
expect_output(print.stanemaxbin(test.fit2), "---- Binary Emax model fit with rstanemax ----")
})
test_that("plot.stanemaxbin works correctly", {
plot_output <- plot.stanemaxbin(test.fit2)
expect_is(plot_output, "ggplot")
})
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