tests/testthat/setup.R

library(bayesnec)
library(brms)
library(testthat)
options(mc.cores = 1)

random_filename <- function(nchar) {
  paste0(c(round(runif(nchar) * 15), sample(letters, nchar),
         sample(LETTERS, nchar))[sample(1:nchar * 3, nchar)], collapse = "")
}

add_na <- function(x, n = 3) {
  x_b <- x
  x_b[sample(seq_along(x), n)] <- NA
  x_b
}

data(nec_data)
other_data <- nec_data
colnames(other_data) <- c("a", "b")
nec_data$count <- as.integer(round(nec_data$y * 20))
nec_data$trials <- as.integer(20)
nec_data$log_x <- log(nec_data$x)

data(manec_example)
nec4param <- pull_out(manec_example, model = "nec4param") |>
  suppressMessages() |>
  suppressWarnings()
ecx4param <- pull_out(manec_example, model = "ecx4param") |>
  suppressMessages() |>
  suppressWarnings()
AIMS/bayesnec documentation built on April 1, 2024, 8:51 p.m.