Let s ∈ (0, 1) be uniquely determined but only its approximations can be obtained with a finite computational effort. Assume one aims to simulate an event of probability s. Such settings are often… (More)

This report is a collection of comments on the Read Paper of Fearnhead and Prangle (2011), to appear in the Journal of the Royal Statistical Society Series B, along with a reply from the authors. 1 A… (More)

A general iterative algorithm is developed for the computation of reduced-bias parameter estimates in regular statistical models using the adjusted score approach of Firth (1993, Biometrika 80,… (More)

brglm2 provides tools for the estimation and inference from generalized linear models using various methods for bias reduction. Reduction of estimation bias is achieved either through the mean-bias… (More)

The problem of clustering large data sets has attracted a lot of current research. The approaches taken are mainly based either on the more efficient implementation or modification of existing… (More)

The use of GPS-enabled tracking devices and heart rate monitors is becoming increasingly common in sports and fitness activities. The trackeR package aims to fill the gap between the routine… (More)

The reduction of the mean or median bias of the maximum likelihood estimator in regular parametric models can be achieved through the additive adjustment of the score equations. In this paper, we… (More)