Language: English
Keywords: Statistical Software, Peer-reviewed, Source Code, Replication Code, Computational Methods, Statistical Methods, Open Licenses
Layout: The layout of the website is organized with a navigation bar at the top, containing links to different sections of the website such as Information on Mission, Information for Authors, Style Guide, Volumes, About, and a search option. The main content area displays the mission statement of the journal and recent publications. The recent publications are listed in a table format with titles and links to the full articles. There is also a sidebar with additional navigation options.
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Overview: The Journal of Statistical Software is a peer-reviewed journal that publishes articles on statistical software along with the source code of the software itself and replication code for all empirical results. It aims to present research that demonstrates the joint evolution of computational and statistical methods and facilitates their application in practice. The journal is established since 1996 and all contents are freely available online under open licenses.
jstatsoft.org was registered 2 decades 4 years ago. It has a alexa rank of #244,946 in the world. Its bounce rate is 72.90%. There are about 1.50 page views per visit. It is a domain having .org extension. It is estimated worth of $ 37,800.00 and have a daily income of around $ 70.00. As no active threats were reported recently, jstatsoft.org is SAFE to browse.
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Established in 1996, the Journal of Statistical Software publishes articles, book reviews, code snippets, and software reviews on the subject of statistical software and...
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis ISSN 1548-7660; CODEN JSSOBK
swMATH - a new database for references on mathematical software
Downloadable! This paper briefly describes geostatistical models for Gaussian and non-Gaussian data and demonstrates the geostatsp and dieasemapping packages for performing...
Analytics cookies. We use analytics cookies to understand how you use our websites so we can make them better, e.g. they're used to gather information about the pages you visit...
Downloadable! This paper describes the implementation in R of a method for tabular or graphical display of terms in a complex generalised linear model. By complex, I mean a...
This is a read-only mirror of the CRAN R package repository. CADFtest — A Package to Perform Covariate Augmented Dickey-Fuller Unit Root Tests.
Feature selection is an important but often forgotten step in the machine learning pipeline. The process involves reducing the dimension of the input space by selecting a...
In statistics and machine learning, lasso (least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable...
ks: Kernel density estimation for bivariate data Tarn Duong 11 February 2020 Kernel density estimation is a popular tool for visualising the distribution of data.
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Domain Registrar: | Public Interest Registry |
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Registration Date: | 2000-07-07 2 decades 4 years 4 months ago |
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