Volume 96 Tahun 2020

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…

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…

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…

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…

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…

Wilcoxon rank-based tests are distribution-free alternatives to the popular two-sample
and paired t tests. For independent data, they are available in several R packages such
as stats and coin. For clustered data, in spite of the recent…

Traditional tools and software for social network analysis are seldom scalable and/or
fast. This paper provides an overview of an R package called fastnet, a tool for scaling
and speeding up the simulation and analysis of large-scale social…

This paper introduces the R package ordinalCont, which implements an ordinal regression framework for response variables which are recorded on a visual analogue scale
(VAS). This scale is used when recording subjects’ perception of an intangible…

The R package vsgoftest performs goodness-of-fit (GOF) tests, based on Shannon
entropy and Kullback-Leibler divergence, developed by Vasicek (1976) and Song (2002),
of various classical families of distributions. The so-called Vasicek-Song (VS)…