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    <title>PyPI recent updates for stataudit</title>
    <link>https://pypi.org/project/stataudit/</link>
    <description>Recent updates to the Python Package Index for stataudit</description>
    <language>en</language>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/stataudit/1.0.3/</link>
      <description>Check AI-written statistics with evidence: re-run the analysis, audit each test&#39;s assumptions on the real data, recompute reported p-values, lint analysis code, and verify proposed fixes.</description>
<author>gurrambhaskar.ai@gmail.com</author>      <pubDate>Sun, 18 Oct 2026 23:44:19 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/stataudit/1.0.2/</link>
      <description>Check AI-written statistics with evidence: re-run the analysis, audit each test&#39;s assumptions on the real data, recompute reported p-values, lint analysis code, and verify proposed fixes.</description>
<author>gurrambhaskar.ai@gmail.com</author>      <pubDate>Wed, 14 Oct 2026 18:54:49 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/stataudit/1.0.1/</link>
      <description>Check AI-written statistics with evidence: re-run the analysis, audit each test&#39;s assumptions on the real data, recompute reported p-values, lint analysis code, and verify proposed fixes.</description>
<author>gurrambhaskar.ai@gmail.com</author>      <pubDate>Wed, 14 Oct 2026 17:15:48 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/stataudit/1.0.0/</link>
      <description>Check AI-written statistics with evidence: re-run the analysis, audit each test&#39;s assumptions on the real data, recompute reported p-values, lint analysis code, and verify proposed fixes.</description>
<author>gurrambhaskar.ai@gmail.com</author>      <pubDate>Wed, 14 Oct 2026 15:03:49 GMT</pubDate>
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