Volume 106 Tahun 2023
Dublin Core
Title
Volume 106 Tahun 2023
Source
https://www.jstatsoft.org/issue/view/v106
Date
2023
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Collection Items
Elastic Net Regularization Paths for All Generalized Linear Models
The lasso and elastic net are popular regularized regression models for supervised
learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient
algorithm for computing the elastic net regularization path for ordinary…
learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient
algorithm for computing the elastic net regularization path for ordinary…
netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods
Network meta-analysis compares different interventions for the same condition, by
combining direct and indirect evidence derived from all eligible studies. Network metaanalysis has been increasingly used by applied scientists and it is a major…
combining direct and indirect evidence derived from all eligible studies. Network metaanalysis has been increasingly used by applied scientists and it is a major…
MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso
The R package MLGL, standing for multi-layer group-Lasso, implements a new procedure of variable selection in the context of redundancy between explanatory variables,
which holds true with high-dimensional data. A sparsity assumption is made that…
which holds true with high-dimensional data. A sparsity assumption is made that…
drda: An R Package for Dose-Response Data Analysis Using Logistic Functions
Analysis of dose-response data is an important step in many scientific disciplines,
including but not limited to pharmacology, toxicology, and epidemiology. The R package
drda is designed to facilitate the analysis of dose-response data by…
including but not limited to pharmacology, toxicology, and epidemiology. The R package
drda is designed to facilitate the analysis of dose-response data by…
RecordTest: An R Package to Analyze Non-Stationarity in the Extremes Based on Record-Breaking Events
The study of non-stationary behavior in the extremes is important to analyze data
in environmental sciences, climate, finance, or sports. As an alternative to the classical
extreme value theory, this analysis can be based on the study of…
in environmental sciences, climate, finance, or sports. As an alternative to the classical
extreme value theory, this analysis can be based on the study of…
gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection
In a world with data that change rapidly and abruptly, it is important to detect those
changes accurately. In this paper we describe an R package implementing a generalized
version of an algorithm recently proposed by Hocking, Rigaill, Fearnhead,…
changes accurately. In this paper we describe an R package implementing a generalized
version of an algorithm recently proposed by Hocking, Rigaill, Fearnhead,…
Broken Stick Model for Irregular Longitudinal Data
Many longitudinal studies collect data that have irregular observation times, often
requiring the application of linear mixed models with time-varying outcomes. This paper
presents an alternative that splits the quantitative analysis into two…
requiring the application of linear mixed models with time-varying outcomes. This paper
presents an alternative that splits the quantitative analysis into two…
Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package
The bayesTFR package for R provides a set of functions to produce probabilistic projections of the total fertility rates for all countries, and is widely used, including as part
of the basis for the United Nations official population projections for…
of the basis for the United Nations official population projections for…
intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset
This article illustrates intRinsic, an R package that implements novel state-of-the-art
likelihood-based estimators of the intrinsic dimension of a dataset, an essential quantity
for most dimensionality reduction techniques. In order to make these…
likelihood-based estimators of the intrinsic dimension of a dataset, an essential quantity
for most dimensionality reduction techniques. In order to make these…
Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf
Quantile-quantile (Q-Q) plots are often difficult to interpret because it is unclear
how large the deviation from the theoretical distribution must be to indicate a lack of
fit. Most Q-Q plots could benefit from the addition of meaningful global…
how large the deviation from the theoretical distribution must be to indicate a lack of
fit. Most Q-Q plots could benefit from the addition of meaningful global…