Add test

tests/testthat/test-fit.R

@@ -0,0 +1,28 @@
+test_that("fit_power_law() works", {
+  # g <- sample_pa(100) # increase this number to have a better estimate
+  # d <- degree(g, mode = "in")
+  d <- c(
+    9, 3, 8, 1, 10, 4, 8, 0, 4, 4, 5, 2, 2, 7, 2, 0, 0, 0, 1, 0, 5, 0, 1, 2, 0, 0,
+    1, 3, 0, 1, 1, 0, 0, 0, 0, 2, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0,
+    0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0,
+    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0
+  )
+
+  expected <- list(
+    continuous = FALSE,
+    alpha = 1.9113310272735056,
+    xmin = 1,
+    logLik = -65.06453615610745,
+    KS.stat = 0.07720553650317852
+  )
+  fit <- fit_power_law(d)
+
+  expect_equal(fit, expected)
+
+  set.seed(20241017)
+  expected_p <- 0.2308
+  fit <- fit_power_law(d, p.value = TRUE)
+
+  expect_equal(fit[names(fit) != "KS.p"], expected)
+  expect_equal(fit$KS.p, expected_p)
+})