v0.2.20

docs/statlab_corr_spearman_rho.rst

@@ -148,8 +148,8 @@ More Details
 Assume that :math:`Y_{i1} \sim \mathcal{D}`.
 For continuous :math:`Y_{i1}`, if we can assume that :math:`P(S_{i1}=0)=1`, 
 then :eq:`eq_rank` can be simplified as :math:`R_{i1} = S_{i1}`.
-For a given sample size :math:`n`, and :math:`r \in \{1, \ldots, n\}`, the PMF of :math:`R_{i1}` is 
-:math:`P(R_{i1} = r) = \frac{1}{n}`, which does not depend on :math:`\mathcal{D}` [4]_.
+For a given sample size :math:`n`, and :math:`r \in \{1, \ldots, n\}`, the pmf of :math:`R_{i1}` is 
+:math:`P(R_{i1} = r) = \frac{1}{n}`, which does not depend on :math:`r` or :math:`\mathcal{D}` [4]_.
 
 
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mtbp3/health/ectd.py

@@ -53,7 +53,7 @@ def find_section_given_words(self, words, outfmt='simple', include='up', to_righ
         if include not in ['up', 'both']:
             raise ValueError("Invalid value for include. Supported values are 'up' and 'both'.")
 
-        out = [row for row in self.ctoc if words in row]
+        out = [row for row in self.ctoc if words.lower() in row.lower()]
         if outfmt == 'simple':
             return out
         elif outfmt == 'tree':