pkg/tests/testthat/test.integerIndexToDate.R

   1 context("Check that getParamsDirs behaves as expected")
   2
   3 test_that("on input of sufficient size, beta is estimated accurately enough", {
   4     n = 100000
   5     d = 2
   6     K = 2
   7     Pr = c(0.5, 0.5)
   8
   9     betas_ref = array( c(1,0,0,1 , 1,-2,3,1), dim=c(2,2,2) )
  10     for (i in 1:(dim(betas_ref)[3]))
  11     {
  12         beta_ref = betas_ref[,,i]
  13         #all parameters are supposed to be of norm 1: thus, normalize beta_ref
  14         norm2 = sqrt(colSums(beta_ref^2))
  15         beta_ref = beta_ref / norm2[col(beta_ref)]
  16
  17         io = generateSampleIO(n, d, K, Pr, beta_ref)
  18         beta = getParamsDirs(io$X, io$Y, K)
  19         betas = .labelSwitchingAlign(
  20             array( c(beta_ref,beta), dim=c(d,K,2) ), compare_to="first", ls_mode="exact")
  21
  22         #Some traces: 0 is not well estimated, but others are OK
  23         cat("\n\nReference parameter matrix:\n")
  24         print(beta_ref)
  25         cat("Estimated parameter matrix:\n")
  26         print(betas[,,2])
  27         cat("Difference norm (Matrix norm ||.||_1, max. abs. sum on a column)\n")
  28         diff_norm = norm(beta_ref - betas[,,2])
  29         cat(diff_norm,"\n")
  30
  31         #NOTE: 0.5 is loose threshold, but values around 0.3 are expected...
  32         expect_that( diff_norm, is_less_than(0.5) )
  33     }
  34 })