Volume 99 Tahun 2021
Dublin Core
Title
Volume 99 Tahun 2021
Source
https://www.jstatsoft.org/issue/view/v099
Date
2021
Format
PDF
Language
Inggris
Type
Text
Collection Items
Optimal Design Generation and Power Evaluation in R: The skpr Package
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,…
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,…
The R Package sentometrics to Compute, Aggregate, and Predict with Textual Sentiment
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…
the R package sentometrics. Textual sentiment analysis is increasingly used to unlock
the potential information value of textual data. The sentometrics package…
cold: An R Package for the Analysis of Count Longitudinal Data
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…
this package marginal and random effects models are considered. In both cases estimation
is via maximization of the exact likelihood and serial dependence among…
Robust Analysis of Sample Selection Models through the R Package ssmrob
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…
the R package ssmrob, which is developed for robust estimation and inference in sample
selection and endogenous treatment models. The sample selectivity issue…
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach
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…
can be uniquely determined without parametric assumptions from measured source distributions and structural knowledge on the generating system. While complete…
Regularized Ordinal Regression and the ordinalNet R Package
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…
Hastie 2005) can be used to improve regression model coefficient estimation and prediction
accuracy, as well as to perform variable selection. Ordinal regression…
dynamichazard: Dynamic Hazard Models Using State Space Models
The dynamichazard package implements state space models that can provide a computationally efficient way to model time-varying parameters in survival analysis. I cover the
models and some of the estimation methods implemented in dynamichazard, apply…
models and some of the estimation methods implemented in dynamichazard, apply…
Conditional Model Selection in Mixed-Effects Models with cAIC4
Model selection in mixed models based on the conditional distribution is appropriate
for many practical applications and has been a focus of recent statistical research. In
this paper we introduce the R package cAIC4 that allows for the computation…
for many practical applications and has been a focus of recent statistical research. In
this paper we introduce the R package cAIC4 that allows for the computation…
IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping
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…
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…
D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data
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…
D-STEM v1 software package was first introduced for modeling multivariate…