test_that("brm_simulate() data", { set.seed(0L) expect_warning( out <- brm_simulate( n_group = 2L, n_patient = 2L, n_time = 3L, hyper_beta = 1, hyper_sigma = 1, hyper_correlation = 1 ), class = "brm_deprecate" ) data <- out$data expect_equal(dim(data), c(12L, 4L)) expect_true(is.numeric(data$response)) expect_false(anyNA(data$response)) expect_equal(data$group, paste("group", rep(seq_len(2L), each = 6L))) expect_equal(data$patient, paste("patient", rep(seq_len(4L), each = 3L))) levels_time <- paste("time", seq_len(3L)) expect_equal(data$time, rep(levels_time, times = 4L)) }) test_that("brm_simulate() model_matrix", { set.seed(0L) expect_warning( out <- brm_simulate( n_group = 2L, n_patient = 2L, n_time = 3L, hyper_beta = 1, hyper_sigma = 1, hyper_correlation = 1 ), class = "brm_deprecate" ) matrix <- out$model_matrix expect_equal(dim(matrix), c(12L, 4L)) colnames(matrix) <- gsub("^group", "", colnames(matrix)) colnames(matrix) <- gsub("^time", "", colnames(matrix)) expect_equal(as.integer(matrix[, "group 1"]), rep(c(1L, 0L), each = 6L)) expect_equal(as.integer(matrix[, "group 2"]), rep(c(0L, 1L), each = 6L)) expect_equal( as.integer(matrix[, "time 2"]), as.integer(out$data$time == "time 2") ) expect_equal( as.integer(matrix[, "time 3"]), as.integer(out$data$time == "time 3") ) }) test_that("brm_simulate() parameters", { set.seed(0L) set.seed(0L) expect_warning( out <- brm_simulate( n_group = 2L, n_patient = 2L, n_time = 3L, hyper_beta = 1, hyper_sigma = 1, hyper_correlation = 1 ), class = "brm_deprecate" ) params <- out$parameters expect_equal( sort(names(params)), sort(c("beta", "sigma", "covariance")) ) expect_equal(length(params$beta), 4L) expect_null(dim(params$beta)) expect_equal(length(params$sigma), 3L) expect_null(dim(params$sigma)) expect_equal(dim(params$covariance), c(3L, 3L)) for (value in params) { expect_true(all(is.finite(value))) } })