tests/testthat/_snaps/sens.md

In extras: Helper Functions for Bayesian Analyses

sens_norm returns a numeric vector of length 2 with correct names

Code
  sens_norm(mean = 2, sd = 10, sd_mult = 2)
Output
  $mean
  [1] 2

  $sd
  [1] 20

sens_student returns a numeric vector of length 3 with correct names

Code
  sens_student(mean = 2, sd = 10, theta = 0.1, sd_mult = 2)
Output
  $mean
  [1] 2

  $sd
  [1] 20

  $theta
  [1] 0.1

sens_exp returns a numeric vector of length 1 with correct names

Code
  sens_exp(rate = 2, sd_mult = 2)
Output
  $rate
  [1] 1

sens_skewnorm returns a numeric vector of length 3 with correct names

Code
  sens_skewnorm(mean = 2, sd = 10, shape = -1, sd_mult = 2)
Output
  $mean
  [1] 7.641896

  $sd
  [1] 20

  $shape
  [1] -1

sens_lnorm returns a numeric vector of length 2 with correct names

Code
  sens_lnorm(meanlog = 2, sdlog = 10, sd_mult = 2)
Output
  $meanlog
  [1] 1.306853

  $sdlog
  [1] 10.06908

sens_beta returns a numeric vector of length 2 with correct names

Code
  sens_beta(alpha = 2, beta = 10, sd_mult = 2)
Output
  $alpha
  [1] 1

  $beta
  [1] 1

sens_pois returns a numeric vector of length 1 with correct names

Code
  sens_pois(lambda = 10, sd_mult = 2)
Output
  $lambda
  [1] 40

sens_gamma returns a numeric vector of length 2 with correct names

Code
  sens_gamma(shape = 2, rate = 10, sd_mult = 2)
Output
  $shape
  [1] 0.5

  $rate
  [1] 2.5

sens_gamma_pois returns a numeric vector of length 2 with correct names

Code
  sens_gamma_pois(lambda = 10, theta = 0.1, sd_mult = 2)
Output
  $lambda
  [1] 10

  $theta
  [1] 0.7

sens_neg_binom returns a numeric vector of length 2 with correct names

Code
  sens_neg_binom(lambda = 10, theta = 0.2, sd_mult = 2)
Output
  $lambda
  [1] 10

  $theta
  [1] 1.1

sens_gamma_pois_zi returns a numeric vector of length 3 with correct names

Code
  sens_gamma_pois_zi(lambda = 2, theta = 0.2, prob = 0.3, sd_mult = 2)
Output
  $lambda
  [1] 2

  $theta
  [1] 3.2

  $prob
  [1] 0.3

extras documentation built on April 4, 2025, 2:40 a.m.