Note
Since January 2018, I have joined University of Warwick as a Reader in Data Science.
Reader in Data Science
Since January 2018, I have joined University of Warwick as a Reader in Data Science.
A particular focus of my work is the development of efficient, in terms of computational complexity and implementation, algorithms for applying the methods I develop to prominent data-analytic scenarios. This page lists the corresponding open-source software I have developed and maintain for that purpose.
betareg | Beta regression | [CRAN] | [RForge] |
brglm | Bias reduction for binomial-response generalized linear models | [CRAN] | [RForge] |
brglm2 | Explicit and implicit methods for bias reduction in generalized linear models | [CRAN] | [GitHub] |
cranly | Package directives and collaboration networks in CRAN | [CRAN] | [GitHub] |
brRasch | Maximum likelihood and bias reduction for fixed-effects Rasch models | [GitHub] | |
enrichwith | Methods to enrich various R objects with extra components | [CRAN] | [GitHub] |
PlackettLuce | Plackett-Luce models | [CRAN] | [GitHub] |
profileModel | Tools for profiling inference functions for various model classes | [CRAN] | [RForge] |
trackeR | Infrastructure for running and cycling data from GPS-enabled tracking devices | [CRAN] | [GitHub] |