Browse Items (8208 total)

This article introduces the GNAR package, which fits, predicts, and simulates from
a powerful new class of generalized network autoregressive processes. Such processes
consist of a multivariate time series along with a real, or inferred, network…

The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes.
While designed and appropriate for use in comparative safety and effectiveness…

Discrete choice experiments are widely used in a broad area of research fields to capture
the preference structure of respondents. The design of such experiments will determine
to a large extent the accuracy with which the preference parameters can…

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…