This paper introduces pdynmc, an R package that provides users sufficient flexibility and precise control over the estimation and inference in linear ......
In this paper, we describe an R package named JMcmprsk, for joint modelling of longitudinal and survival data with competing risks. The package in its......
The last decades show an increased interest in modeling various types of data through copulae. Different copula models have been developed, which lead......
Bivariate time-to-event data frequently arise in research areas such as clinical trials and epidemiological studies, where the occurrence of two event......
The analysis of spatial observations on a sphere is important in areas such as geosciences, physics and embryo research, just to name a few. The purpo......
Chernozhukov et al. (2018) proposed the sorted effect method for nonlinear regression models. This method consists of reporting percentiles of the par......
Though longitudinal data often contain missing responses and error-prone covariates, relatively little work has been available to simultaneously corre......
