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    <title>PyPI recent updates for jimla</title>
    <link>https://pypi.org/project/jimla/</link>
    <description>Recent updates to the Python Package Index for jimla</description>
    <language>en</language>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/jimla/0.1.8/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 02:25:47 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/jimla/0.1.7/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:30:38 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/jimla/0.1.6/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:28:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/jimla/0.1.5/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:26:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/jimla/0.1.4/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:25:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/jimla/0.1.3/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:23:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/jimla/0.1.2/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Tue, 16 Sep 2025 01:08:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/jimla/0.1.1/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Sun, 14 Sep 2025 20:53:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/jimla/0.1.0/</link>
      <description>Bayesian linear regression with variational inference, inspired by R&#39;s lm() and broom</description>
<author>alex.hallam@cfacorp.com</author>      <pubDate>Sun, 14 Sep 2025 20:21:33 GMT</pubDate>
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