JASP: Graphical Statistical Software for Common Statistical Designs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F19%3A00113750" target="_blank" >RIV/00216224:14230/19:00113750 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.18637/jss.v088.i02" target="_blank" >http://dx.doi.org/10.18637/jss.v088.i02</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.18637/jss.v088.i02" target="_blank" >10.18637/jss.v088.i02</a>

Jazyk výsledku

angličtina

Název v původním jazyce

JASP: Graphical Statistical Software for Common Statistical Designs

Popis výsledku v původním jazyce

This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a "syntax". Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages.

Název v anglickém jazyce

JASP: Graphical Statistical Software for Common Statistical Designs

Popis výsledku anglicky

This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways. First, JASP provides several innovations in user interface design; specifically, results are provided immediately as the user makes changes to options, output is attractive, minimalist, and designed around the principle of progressive disclosure, and analyses can be peer reviewed without requiring a "syntax". Second, JASP provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation. The ease with which these relatively complex Bayesian techniques are available in JASP encourages their broader adoption and furthers a more inclusive statistical reporting practice. The JASP analyses are implemented in R and a series of R packages.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

JOURNAL OF STATISTICAL SOFTWARE

ISSN

1548-7660

e-ISSN

—

Svazek periodika

88

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

1-17

Kód UT WoS článku

000457018600001

EID výsledku v databázi Scopus

2-s2.0-85061360981