Regression on Ioannis Kosmidis

detectseparation R package is on CRAN

Thu, 26 Mar 2020 00:00:00 +0000

detectseparation provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses.

Pre-fit methods

The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007), using ROI or lpSolveAPI.

For example, the code chunk below checks for data separation for the logistic regression model for the endometrial data set that has been considered in Heinze and Schemper (2002)

Turing Data Science Masterclass: 'Scalable regression: old tricks, new era'

Tue, 01 May 2018 00:00:00 +0000

On 25th May 2018, I will be giving a Turing Data Science Masterclass titled “Scalable regression: old tricks, new era”. Information and registration details can be found here.

GSE Graduate course: 'Generalized linear models with massive data'

Sat, 15 Jul 2017 00:00:00 +0000

On 18 and 19 October 2017, I will be giving a course on statistical learning of generalized linear models with massive amounts of data at Barcelona GSE Data Science.

GLMs with massive data in Barcelona and at Innsbruck

Sat, 12 Nov 2016 00:00:00 +0000

I will be giving a course on statistical learning of generalized linear models with massive amounts of data at the Barcelona GSE Data Science (November 2016) and at the Faculty of Economics and Statistics, University of Innsbruck (January 2017).

GLMs at the 2nd R Spring Court @ AUEB

Sat, 03 Jan 2015 00:00:00 +0000

On March 2015, I will be giving a course at the 2nd R Spring Course @ AUEB at Athens, Greece.

GLMs at the 1st R Summaer School @ AUEB

Fri, 07 Mar 2014 00:00:00 +0000

On 23-27 June 2015, I will be giving a course on generalized linear models at the 1st R Summer School @ AUEB in Athens, Greece.