some new features

.venv/lib/python3.12/site-packages/statsmodels/sandbox/stats/tests/test_multicomp.py

@@ -0,0 +1,15 @@
+"""
+Tests corresponding to sandbox.stats.multicomp
+"""
+import numpy as np
+from numpy.testing import assert_almost_equal
+
+from statsmodels.sandbox.stats.multicomp import tukey_pvalues
+
+
+def test_tukey_pvalues():
+    # TODO: testcase with 3 is not good because all pairs
+    #  has also 3*(3-1)/2=3 elements
+    res = tukey_pvalues(3.649, 3, 16)
+    assert_almost_equal(0.05, res[0], 3)
+    assert_almost_equal(0.05*np.ones(3), res[1], 3)

.venv/lib/python3.12/site-packages/statsmodels/sandbox/stats/tests/test_runs.py

@@ -0,0 +1,29 @@
+"""
+Tests corresponding to sandbox.stats.runs
+"""
+from numpy.testing import assert_almost_equal
+from statsmodels.sandbox.stats.runs import runstest_1samp
+
+
+def test_mean_cutoff():
+    x = [1] * 5 + [2] * 6 + [3] * 8
+    cutoff = "mean"
+    expected = (-4.007095978613213, 6.146988816717466e-05)
+    results = runstest_1samp(x, cutoff=cutoff, correction=False)
+    assert_almost_equal(expected, results)
+
+
+def test_median_cutoff():
+    x = [1] * 5 + [2] * 6 + [3] * 8
+    cutoff = "median"
+    expected = (-3.944254410803499, 8.004864125547193e-05)
+    results = runstest_1samp(x, cutoff=cutoff, correction=False)
+    assert_almost_equal(expected, results)
+
+
+def test_numeric_cutoff():
+    x = [1] * 5 + [2] * 6 + [3] * 8
+    cutoff = 2
+    expected = (-3.944254410803499, 8.004864125547193e-05)
+    results = runstest_1samp(x, cutoff=cutoff, correction=False)
+    assert_almost_equal(expected, results)