Showing 1 - 20 results of 75 for search 'Foundation for Open Access Statistics', query time: 0.05s Refine Results
  1. 1
    GMM Estimators for Binary Spatial Models in R

    GMM Estimators for Binary Spatial Models in R by Gianfranco Piras, Mauricio Sarrias

    Published 2023-10-01
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  2. 2
    PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments

    PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments by Kristen B. Hunter, Luke Miratrix, Kristin Porter

    Published 2024-03-01
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  3. 3
    ARCHModels.jl: Estimating ARCH Models in Julia

    ARCHModels.jl: Estimating ARCH Models in Julia by Simon A. Broda, Marc S. Paolella

    Published 2023-09-01
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  4. 4
    Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS

    Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS by Ranjit Lall, Thomas Robinson

    Published 2023-10-01
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  5. 5
    melt: Multiple Empirical Likelihood Tests in R

    melt: Multiple Empirical Likelihood Tests in R by Eunseop Kim, Steven N. MacEachern, Mario Peruggia

    Published 2024-02-01
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  6. 6
    sparsegl: An R Package for Estimating Sparse Group Lasso

    sparsegl: An R Package for Estimating Sparse Group Lasso by Xiaoxuan Liang, Aaron Cohen, Anibal Sólon Heinsfeld, Franco Pestilli, Daniel J. McDonald

    Published 2024-08-01
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  7. 7
    magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes

    magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes by Samuel W. K. Wong, Shihao Yang, S. C. Kou

    Published 2024-05-01
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  8. 8
    makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R

    makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R by Ingeborg Hem, Geir-Arne Fuglstad, Andrea Riebler

    Published 2024-08-01
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  9. 9
    fairadapt: Causal Reasoning for Fair Data Preprocessing

    fairadapt: Causal Reasoning for Fair Data Preprocessing by Drago Plečko, Nicolas Bennett, Nicolai Meinshausen

    Published 2024-09-01
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  10. 10
    Generalized Plackett-Luce Likelihoods

    Generalized Plackett-Luce Likelihoods by Robin K. S. Hankin

    Published 2024-06-01
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  11. 11
    Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf

    Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf by Eric Weine, Mary Sara McPeek, Mark Abney

    Published 2023-04-01
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  12. 12
    Interpreting Deep Neural Networks with the Package innsight

    Interpreting Deep Neural Networks with the Package innsight by Niklas Koenen, Marvin N. Wright

    Published 2024-11-01
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  13. 13
    openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding

    openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding by Pavlin G. Poličar, Martin Stražar, Blaž Zupan

    Published 2024-05-01
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  14. 14
    A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models

    A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models by Scott A. Brave, R. Andrew Butters, David Kelley

    Published 2022-10-01
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  15. 15
    Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package

    Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package by Peiran Liu, Hana Ševčíková, Adrian E. Raftery

    Published 2023-03-01
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  16. 16
    Panel Data Visualization in R (panelView) and Stata (panelview)

    Panel Data Visualization in R (panelView) and Stata (panelview) by Hongyu Mou, Licheng Liu, Yiqing Xu

    Published 2023-09-01
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  17. 17
    Holistic Generalized Linear Models

    Holistic Generalized Linear Models by Benjamin Schwendinger, Florian Schwendinger, Laura Vana

    Published 2024-02-01
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  18. 18
    Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts

    Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts by Sam Allen

    Published 2024-09-01
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  19. 19
    bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics

    bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics by Rebecca Fisher, Diego R. Barneche, Gerard F. Ricardo, David R. Fox

    Published 2024-08-01
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  20. 20
    Elastic Net Regularization Paths for All Generalized Linear Models

    Elastic Net Regularization Paths for All Generalized Linear Models by J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie

    Published 2023-03-01
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