Volume 103 Tahun 2022
Dublin Core
Title
Volume 103 Tahun 2022
Source
https://www.jstatsoft.org/issue/view/v103
Date
2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Collection Items
modelsummary: Data and Model Summaries in R
modelsummary is a package to summarize data and statistical models in R. It supports
over one hundred types of models out-of-the-box, and allows users to report the results
of those models side-by-side in a table, or in coefficient plots. It makes…
over one hundred types of models out-of-the-box, and allows users to report the results
of those models side-by-side in a table, or in coefficient plots. It makes…
stringi: Fast and Portable Character String Processing in R
Effective processing of character strings is required at various stages of data analysis
pipelines: from data cleansing and preparation, through information extraction, to report
generation. Pattern searching, string collation and sorting,…
pipelines: from data cleansing and preparation, through information extraction, to report
generation. Pattern searching, string collation and sorting,…
evgam: An R Package for Generalized Additive Extreme Value Models
This article introduces the R package evgam. The package provides functions for
fitting extreme value distributions. These include the generalized extreme value and
generalized Pareto distributions. The former can also be fitted through a point…
fitting extreme value distributions. These include the generalized extreme value and
generalized Pareto distributions. The former can also be fitted through a point…
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data
The last decade has witnessed the emergence of massive mobility datasets, such as
tracks generated by GPS devices, call detail records, and geo-tagged posts from social
media platforms. These datasets have fostered a vast scientific production on…
tracks generated by GPS devices, call detail records, and geo-tagged posts from social
media platforms. These datasets have fostered a vast scientific production on…
spNNGP R Package for Nearest Neighbor Gaussian Process Models
This paper describes and illustrates functionality of the spNNGP R package. The
package provides a suite of spatial regression models for Gaussian and non-Gaussian pointreferenced outcomes that are spatially indexed. The package implements several…
package provides a suite of spatial regression models for Gaussian and non-Gaussian pointreferenced outcomes that are spatially indexed. The package implements several…
Feller-Pareto and Related Distributions: Numerical Implementation and Actuarial Applications
Actuaries model insurance claim amounts using heavy tailed probability distributions.
They routinely need to evaluate quantities related to these distributions such as quantiles
in the far right tail, moments or limited moments. Furthermore,…
They routinely need to evaluate quantities related to these distributions such as quantiles
in the far right tail, moments or limited moments. Furthermore,…
Hierarchical Clustering with Contiguity Constraint in R
This article presents a new implementation of hierarchical clustering for the R language
that allows one to apply spatial or temporal contiguity constraints during the clustering
process. The need for contiguity constraint arises, for instance,…
that allows one to apply spatial or temporal contiguity constraints during the clustering
process. The need for contiguity constraint arises, for instance,…
On the Programmatic Generation of Reproducible Documents
Reproducible document standards, like R Markdown, facilitate the programmatic creation of documents whose content is itself programmatically generated. While programmatic content alone may not be sufficient for a rendered document since it does…
Automatic Identification and Forecasting of Structural Unobserved Components Models with UComp
UComp is a powerful library for building unobserved components models, useful for
forecasting and other important operations, such us de-trending, cycle analysis, seasonal
adjustment, signal extraction, etc. One of the most outstanding features…
forecasting and other important operations, such us de-trending, cycle analysis, seasonal
adjustment, signal extraction, etc. One of the most outstanding features…
exuber: Recursive Right-Tailed Unit Root Testing with R
This paper introduces the R package exuber for testing and date-stamping periods of
mildly explosive dynamics (exuberance) in time series. The package computes test statistics for the supremum augmented Dickey-Fuller test (SADF) of Phillips, Wu, and…
mildly explosive dynamics (exuberance) in time series. The package computes test statistics for the supremum augmented Dickey-Fuller test (SADF) of Phillips, Wu, and…