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    <title>PyPI recent updates for lossratio</title>
    <link>https://pypi.org/project/lossratio/</link>
    <description>Recent updates to the Python Package Index for lossratio</description>
    <language>en</language>    <item>
      <title>0.0.1.dev9</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev9/</link>
      <description>Loss ratio analytics for long-term health insurance.</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Sun, 10 May 2026 16:02:34 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev7</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev7/</link>
      <description>Loss ratio analytics for long-term health insurance.</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Sun, 10 May 2026 11:19:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev6</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev6/</link>
      <description>Loss ratio analytics for long-term health insurance.</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Sat, 09 May 2026 17:12:28 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev5</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev5/</link>
      <description>Loss ratio analytics for long-term health insurance.</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Sat, 09 May 2026 08:11:49 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev4</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev4/</link>
      <description>Loss ratio analysis for insurance experience data (Python sibling of the R lossratio package; in development).</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Thu, 07 May 2026 12:52:16 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev3</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev3/</link>
      <description>Loss ratio analysis for insurance experience data (Python sibling of the R lossratio package; in development).</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Thu, 07 May 2026 11:07:13 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev2</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev2/</link>
      <description>Loss ratio analysis for insurance experience data (Python sibling of the R lossratio package; in development).</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Thu, 07 May 2026 10:55:10 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev1</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev1/</link>
      <description>Loss ratio analysis for insurance experience data (Python sibling of the R lossratio package; in development).</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Thu, 07 May 2026 10:24:09 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev0</title>
      <link>https://pypi.org/project/lossratio/0.0.1.dev0/</link>
      <description>Loss ratio analysis for insurance experience data (Python implementation by the author of the R package; in development).</description>
<author>seokhoonj@gmail.com</author>      <pubDate>Wed, 06 May 2026 12:40:05 GMT</pubDate>
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