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    <title>PyPI recent updates for microimpute</title>
    <link>https://pypi.org/project/microimpute/</link>
    <description>Recent updates to the Python Package Index for microimpute</description>
    <language>en</language>    <item>
      <title>2.0.4</title>
      <link>https://pypi.org/project/microimpute/2.0.4/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Tue, 28 Apr 2026 12:56:46 GMT</pubDate>
    </item>    <item>
      <title>2.0.3</title>
      <link>https://pypi.org/project/microimpute/2.0.3/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 17 Apr 2026 16:14:18 GMT</pubDate>
    </item>    <item>
      <title>2.0.2</title>
      <link>https://pypi.org/project/microimpute/2.0.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 03 Apr 2026 13:11:15 GMT</pubDate>
    </item>    <item>
      <title>1.15.1</title>
      <link>https://pypi.org/project/microimpute/1.15.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Mon, 09 Mar 2026 15:59:32 GMT</pubDate>
    </item>    <item>
      <title>1.15.0</title>
      <link>https://pypi.org/project/microimpute/1.15.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Mon, 09 Mar 2026 15:41:36 GMT</pubDate>
    </item>    <item>
      <title>1.14.4</title>
      <link>https://pypi.org/project/microimpute/1.14.4/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 06 Mar 2026 13:34:49 GMT</pubDate>
    </item>    <item>
      <title>1.14.3</title>
      <link>https://pypi.org/project/microimpute/1.14.3/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 27 Feb 2026 16:26:35 GMT</pubDate>
    </item>    <item>
      <title>1.14.2</title>
      <link>https://pypi.org/project/microimpute/1.14.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Tue, 24 Feb 2026 10:53:56 GMT</pubDate>
    </item>    <item>
      <title>1.14.1</title>
      <link>https://pypi.org/project/microimpute/1.14.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sun, 22 Feb 2026 13:06:31 GMT</pubDate>
    </item>    <item>
      <title>1.14.0</title>
      <link>https://pypi.org/project/microimpute/1.14.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sat, 07 Feb 2026 04:53:08 GMT</pubDate>
    </item>    <item>
      <title>1.13.0</title>
      <link>https://pypi.org/project/microimpute/1.13.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Tue, 20 Jan 2026 05:26:22 GMT</pubDate>
    </item>    <item>
      <title>1.12.0</title>
      <link>https://pypi.org/project/microimpute/1.12.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 11 Dec 2025 14:05:12 GMT</pubDate>
    </item>    <item>
      <title>1.11.0</title>
      <link>https://pypi.org/project/microimpute/1.11.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 05 Dec 2025 09:21:54 GMT</pubDate>
    </item>    <item>
      <title>1.10.0</title>
      <link>https://pypi.org/project/microimpute/1.10.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 04 Dec 2025 11:24:12 GMT</pubDate>
    </item>    <item>
      <title>1.9.0</title>
      <link>https://pypi.org/project/microimpute/1.9.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Wed, 03 Dec 2025 10:56:09 GMT</pubDate>
    </item>    <item>
      <title>1.8.1</title>
      <link>https://pypi.org/project/microimpute/1.8.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 06 Nov 2025 04:50:52 GMT</pubDate>
    </item>    <item>
      <title>1.7.0</title>
      <link>https://pypi.org/project/microimpute/1.7.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 24 Oct 2025 16:08:29 GMT</pubDate>
    </item>    <item>
      <title>1.6.1</title>
      <link>https://pypi.org/project/microimpute/1.6.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Tue, 21 Oct 2025 03:22:10 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/microimpute/1.6.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Mon, 20 Oct 2025 08:35:55 GMT</pubDate>
    </item>    <item>
      <title>1.5.2</title>
      <link>https://pypi.org/project/microimpute/1.5.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sun, 19 Oct 2025 10:09:57 GMT</pubDate>
    </item>    <item>
      <title>1.5.1</title>
      <link>https://pypi.org/project/microimpute/1.5.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 10 Oct 2025 08:35:07 GMT</pubDate>
    </item>    <item>
      <title>1.4.1</title>
      <link>https://pypi.org/project/microimpute/1.4.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sat, 04 Oct 2025 02:28:50 GMT</pubDate>
    </item>    <item>
      <title>1.3.0</title>
      <link>https://pypi.org/project/microimpute/1.3.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 02 Oct 2025 12:12:35 GMT</pubDate>
    </item>    <item>
      <title>1.2.3</title>
      <link>https://pypi.org/project/microimpute/1.2.3/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 25 Sep 2025 12:35:03 GMT</pubDate>
    </item>    <item>
      <title>1.2.2</title>
      <link>https://pypi.org/project/microimpute/1.2.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 18 Sep 2025 12:25:38 GMT</pubDate>
    </item>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/microimpute/1.2.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sun, 14 Sep 2025 03:59:08 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/microimpute/1.2.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Sun, 07 Sep 2025 08:09:16 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/microimpute/1.1.6/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 08 Aug 2025 08:18:42 GMT</pubDate>
    </item>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/microimpute/1.1.5/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Tue, 05 Aug 2025 13:59:59 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/microimpute/1.1.4/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 01 Aug 2025 16:38:04 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/microimpute/1.1.3/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Fri, 01 Aug 2025 14:32:28 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/microimpute/1.1.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 31 Jul 2025 23:57:49 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/microimpute/1.1.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 31 Jul 2025 11:24:18 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/microimpute/1.1.0/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Thu, 31 Jul 2025 10:15:32 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/microimpute/1.0.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
<author>juaristi@uni.minerva.edu, nikhil.woodruff@outlook.com</author>      <pubDate>Wed, 30 Jul 2025 23:46:38 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/microimpute/1.0.1/</link>
      <description>Benchmarking imputation methods for microdata</description>
      <pubDate>Sat, 26 Jul 2025 16:24:15 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/microimpute/0.2.5/</link>
      <description>Benchmarking imputation methods for microdata</description>
      <pubDate>Thu, 24 Jul 2025 12:43:34 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/microimpute/0.2.4/</link>
      <description>Benchmarking imputation methods for microdata</description>
      <pubDate>Thu, 24 Jul 2025 11:47:47 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/microimpute/0.2.3/</link>
      <description>Benchmarking imputation methods for microdata</description>
      <pubDate>Mon, 07 Jul 2025 09:58:24 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/microimpute/0.2.2/</link>
      <description>Benchmarking imputation methods for microdata</description>
      <pubDate>Mon, 07 Jul 2025 09:58:18 GMT</pubDate>
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