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    <title>PyPI recent updates for mcup</title>
    <link>https://pypi.org/project/mcup/</link>
    <description>Recent updates to the Python Package Index for mcup</description>
    <language>en</language>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/mcup/1.1.0/</link>
      <description>Monte Carlo Uncertainty Propagation for regression with measurement errors</description>
<author>daniel.herman@protonmail.com</author>      <pubDate>Fri, 03 Apr 2026 18:50:26 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/mcup/1.0.0/</link>
      <description>Monte Carlo Uncertainty Propagation for regression with measurement errors</description>
<author>daniel.herman@protonmail.com</author>      <pubDate>Fri, 03 Apr 2026 17:09:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/mcup/0.1.1/</link>
      <description>MCUP will propagate uncertainty of your data points to the parameters of the regression using a Monte Carlo approach.</description>
<author>daniel.herman@pm.me</author>      <pubDate>Thu, 25 Mar 2021 23:34:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/mcup/0.1.0/</link>
      <description>MCUP will propagate uncertainty of your data points to the parameters of the regression using a Monte Carlo approach.</description>
<author>daniel.herman@pm.me</author>      <pubDate>Fri, 22 Nov 2019 21:39:40 GMT</pubDate>
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