Browse Items (9465 total)

We introduce Sim.DiffProc, an R package for symbolic and numerical computations
on scalar and multivariate systems of stochastic differential equations (SDEs). It provides
users with a wide range of tools to simulate, estimate, analyze, and…

The R package colorspace provides a flexible toolbox for selecting individual colors or
color palettes, manipulating these colors, and employing them in statistical graphics and
data visualizations. In particular, the package provides a broad range…

Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most
popular methods. However, the ANOVA F test is sensitive to violations of…

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…

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…

We describe the R package acebayes and demonstrate its use to find Bayesian optimal
experimental designs. A decision-theoretic approach is adopted, with the optimal design
maximizing an expected utility. Finding Bayesian optimal designs for…

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)…

The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function
(CDF), F(x), is continuous. However, there are many real-life applications…

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…