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    <title>PyPI recent updates for rascpy</title>
    <link>https://pypi.org/project/rascpy/</link>
    <description>Recent updates to the Python Package Index for rascpy</description>
    <language>en</language>    <item>
      <title>2026.4.2</title>
      <link>https://pypi.org/project/rascpy/2026.4.2/</link>
      <description>The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensional stratified sampling,reject inference.An major area is credit risk Management.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Sat, 04 Apr 2026 14:28:53 GMT</pubDate>
    </item>    <item>
      <title>2026.1.19</title>
      <link>https://pypi.org/project/rascpy/2026.1.19/</link>
      <description>The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensional stratified sampling,reject inference.An major area is credit risk Management.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Tue, 20 Jan 2026 01:13:47 GMT</pubDate>
    </item>    <item>
      <title>2025.12.31</title>
      <link>https://pypi.org/project/rascpy/2025.12.31/</link>
      <description>The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensional stratified sampling,reject inference.An major area is credit risk Management.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Thu, 25 Dec 2025 15:06:31 GMT</pubDate>
    </item>    <item>
      <title>2025.12.16</title>
      <link>https://pypi.org/project/rascpy/2025.12.16/</link>
      <description>The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensional stratified sampling,reject inference.An major area is credit risk Management.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Fri, 05 Dec 2025 04:18:11 GMT</pubDate>
    </item>    <item>
      <title>2025.11.11</title>
      <link>https://pypi.org/project/rascpy/2025.11.11/</link>
      <description>The rascpy project supplement and improve existing statistical methods such as bidirectional stepwise regression,optimal binning,risk scorecard,automatic parameter search for ensemble trees,filling and transforming complex data with both missing and special values,high-dimensional stratified sampling,reject inference.An major area is credit risk Management.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Wed, 12 Nov 2025 04:34:34 GMT</pubDate>
    </item>    <item>
      <title>2025.8.24</title>
      <link>https://pypi.org/project/rascpy/2025.8.24/</link>
      <description>The RASC project has made some supplements and improvements to existing statistical methods in order to provide data analysts and modelers with a more accurate and easier-to-use algorithmic framework.</description>
<author>scoreconflow@gmail.com</author>      <pubDate>Sun, 24 Aug 2025 12:27:53 GMT</pubDate>
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