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Mattan Ben-Shachar

Biographic Data

ID10706281
NAMEMattan Ben-Shachar
GIVEN NAMESMattan
FAMILY NAMEBen-Shachar
SIGNATUREBEN-SHACHAR M
AFFILIATIONSBen-Gurion University of the Negev
ORCID0000-0002-4287-4801
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Performance: An R Package for Assessment, Comparison and Testing of Statistical Models

    Open Access•Daniel Lüdecke, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2021

    A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and numerically to bring readers in on the investigative effort.

  • Effectsize: Estimation of Effect Size Indices and Standardized Parameters

    Open Access•Mattan Ben-Shachar, Daniel Lüdecke et al.•ARTICLE•Journal of Open Source Software•2020

  • Extracting, Computing and Exploring the Parameters of Statistical Models using R

    Open Access•Daniel Lüdecke, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2020

    The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users. Although there exist some generic functions to obtain model summaries and parameters, many package-specific modeling functions do not provide such methods to allow users to access such valuable information.

  • BayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

    Open Access•Dominique Makowski, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2019

    Makowski et al., (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541, https://doi.org/10.21105/joss.01541

  • Indices of Effect Existence and Significance in the Bayesian Framework

    Open Access•Dominique Makowski, Mattan S Ben-Shachar et al.•ARTICLE•Frontiers in Psychology•2019

    Turmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in probabilistic terms and explicitly incorporate prior knowledge about them into the model. These issues…

No prominent works on this page.

  • BayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

    Open Access•Dominique Makowski, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2019

    Makowski et al., (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541, https://doi.org/10.21105/joss.01541

  • Indices of Effect Existence and Significance in the Bayesian Framework

    Open Access•Dominique Makowski, Mattan S Ben-Shachar et al.•ARTICLE•Frontiers in Psychology•2019

    Turmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in probabilistic terms and explicitly incorporate prior knowledge about them into the model. These issues…

  • Effectsize: Estimation of Effect Size Indices and Standardized Parameters

    Open Access•Mattan Ben-Shachar, Daniel Lüdecke et al.•ARTICLE•Journal of Open Source Software•2020

  • Extracting, Computing and Exploring the Parameters of Statistical Models using R

    Open Access•Daniel Lüdecke, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2020

    The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users. Although there exist some generic functions to obtain model summaries and parameters, many package-specific modeling functions do not provide such methods to allow users to access such valuable information.

  • Performance: An R Package for Assessment, Comparison and Testing of Statistical Models

    Open Access•Daniel Lüdecke, Mattan Ben-Shachar et al.•ARTICLE•Journal of Open Source Software•2021

    A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and numerically to bring readers in on the investigative effort.

Computer Science (4 works) · Mathematics (4 works) · Statistics (4 works) · Econometrics (3 works) · Bayesian probability (2 works) · Data Analysis with R (2 works) · Economics (2 works) · Meta-analysis and systematic reviews (2 works) · Artificial Intelligence (1 works) · Bayes factor (1 works)

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