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    <title>infrastructure on Ioannis Kosmidis</title>
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      <title>My brglm2 R package is on CRAN</title>
      <link>http://www.ikosmidis.com/post/news-brglm2/</link>
      <pubDate>Thu, 25 May 2017 00:00:00 +0000</pubDate>
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      <description>brglm2 provides various methods for mean and median bias reduction in the estimation of generalized linear models, along with pre-fit and post-fit methods for the detection of separation and of infinite maximum likelihood estimates in binomial response generalized linear models. See the package vignettes and the brglm2 GitHub page for details.</description>
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      <title>My enrichwith R package is on CRAN</title>
      <link>http://www.ikosmidis.com/post/news-enrichwith/</link>
      <pubDate>Thu, 18 May 2017 00:00:00 +0000</pubDate>
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      <description>enrichwith provides the “enrich” method (verb) to enrich list-like R objects with new, relevant components. The current version can enrich objects of class ‘family’, ‘link-glm’, ‘lm’ and ‘glm’. The package also provides the ‘enriched_glm’ function that results in objects that carry various useful methods for generalized linear models (simulate, observed and expected information matrix, and model densities, probabilities, and quantiles at arbitrary parameter values). See the package vignettes and the enrichwith GitHub page for more details.</description>
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