Browse Items (12 total)

Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time. The MATLAB
D-STEM v1 software package was first introduced for modeling multivariate…

The R package skpr provides a suite of functions to generate and evaluate experimental
designs. Package skpr generates D, I, Alias, A, E, T, and G-optimal designs, and supports
custom user-defined optimality criteria, N-level split-plot designs,…

Statistical analyses of directional or angular data have applications in a variety of
fields, such as geology, meteorology and bioinformatics. There is substantial literature on
descriptive and inferential techniques for univariate angular data,…

Causal effect identification considers whether an interventional probability distribution
can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete…

The aim of this paper is to describe the implementation and to provide a tutorial for
the R package ssmrob, which is developed for robust estimation and inference in sample
selection and endogenous treatment models. The sample selectivity issue…

Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and
Hastie 2005) can be used to improve regression model coefficient estimation and prediction
accuracy, as well as to perform variable selection. Ordinal regression…

Dynamic time warping (DTW) is a popular distance measure for time series analysis
and has been applied in many research domains. This paper proposes the R package
IncDTW for the incremental calculation of DTW, and based on this principle…

This paper describes the R package cold for the analysis of count longitudinal data. In
this package marginal and random effects models are considered. In both cases estimation
is via maximization of the exact likelihood and serial dependence among…

Recently, there has been a growing interest in tensor data analysis, where tensor regression is the cornerstone of statistical modeling for tensor data. The R package TRES
provides the standard least squares estimators and the more efficient…

We provide a hands-on introduction to optimized textual sentiment indexation using
the R package sentometrics. Textual sentiment analysis is increasingly used to unlock
the potential information value of textual data. The sentometrics package…