Browse Items (16 total)

We describe the features and implementation of the R package zenplots (zigzag expanded navigation plots) for displaying high-dimensional data according to the recently
proposed zenplots.
By default, zenplots lay out alternating one- and…

Clustered covariances or clustered standard errors are very widely used to account for
correlated or clustered data, especially in economics, political sciences, and other social
sciences. They are employed to adjust the inference following…

Applications of multiple imputation have long outgrown the traditional context of
dealing with item nonresponse in cross-sectional data sets. Nowadays multiple imputation is also applied to impute missing values in hierarchical data sets, address…

Survival analysis features heavily as an important part of health economic evaluation,
an increasingly important component of medical research. In this setting, it is important
to estimate the mean time to the survival endpoint using limited…

Many popular nonparametric inferential methods are based on ranks. Among the most
commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test
for two independent samples, and the Kruskal-Wallis test for multiple independent…

The phonics package provides several functions for indexing words by their English
language pronunciation. Over nearly one hundred years, many different algorithms have
been developed to support word and name indexing. From Soundex, developed in…

Image reconstruction from noisy data has a long history of methodological development
and is based on a variety of ideas. In this paper we introduce a new method called patchwise adaptive smoothing, that extends the propagation-separation approach…

MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS
that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC)
algorithms to speed up posterior inference of Bayesian models. The algorithm…

GeneGeneInteR is an R package dedicated to the detection of an association between
a case-control phenotype and the interaction between two sets of biallelic markers (single
nucleotide polymorphisms or SNPs) in case-control genome-wide associations…

mlogit is a package for R which enables the estimation of random utility models with
choice situation and/or alternative specific variables. The main extensions of the basic
multinomial model (heteroscedastic, nested and random parameter models)…