<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Python统计相关包]]></title><description><![CDATA[<p dir="auto"><a href="https://pingouin-stats.org/" rel="nofollow ugc">https://pingouin-stats.org/</a><br />
Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. For a full list of available functions, please refer to the API documentation.</p>
<p dir="auto">ANOVAs: N-ways, repeated measures, mixed, ancova</p>
<p dir="auto">Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations</p>
<p dir="auto">Robust, partial, distance and repeated measures correlations</p>
<p dir="auto">Linear/logistic regression and mediation analysis</p>
<p dir="auto">Bayes Factors</p>
<p dir="auto">Multivariate tests</p>
<p dir="auto">Reliability and consistency</p>
<p dir="auto">Effect sizes and power analysis</p>
<p dir="auto">Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient</p>
<p dir="auto">Circular statistics</p>
<p dir="auto">Chi-squared tests</p>
<p dir="auto">Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation…</p>
]]></description><link>http://an.forum.genostack.com/topic/569/python统计相关包</link><generator>RSS for Node</generator><lastBuildDate>Sat, 13 Jun 2026 10:42:51 GMT</lastBuildDate><atom:link href="http://an.forum.genostack.com/topic/569.rss" rel="self" type="application/rss+xml"/><pubDate>Thu, 10 Mar 2022 03:50:40 GMT</pubDate><ttl>60</ttl></channel></rss>