Model Fitting Software
Model Fitting Software is a type of statistical software that belongs to the class of methodological tools designed for estimating the parameters of a statistical model by optimizing a specified criterion, differentiating it from other statistical software through its primary function of algorithmically calibrating model structures to empirical data.
267
Publications
141.8K
Citations
3.5K
Authors
660
Institutions
Publications per year
2017–2026
79
267
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Astropy: A community Python package for astronomy
Thomas Robitaille, Erik Tollerud, P. Greenfield et al. · Astronomy and Astrophysics · 2013 · 14.5K citations · Full text
Natural Sciences, Astronomy, Physics +13
1–5 of 267
3.5K
3
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3
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3
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University of Tennessee at Knoxville, United States
3 publications · 470 citations
3
h-index
3
h-index
1–5 of 3.5K
660

Centre National de la Recherche Scientifique
Paris, France
12 h-index
44 publications
16.8K citations
Yale University
New Haven, United States
5 h-index
23 publications
17.2K citations
University of Oxford
Oxford, United Kingdom
5 h-index
37 publications
4.8K citations
Ludwig-Maximilians-Universität München
Munich, Germany
5 h-index
36 publications
3.6K citations
University of Pennsylvania
Philadelphia, United States
5 h-index
34 publications
5.1K citations
Heidelberg University
Heidelberg, Germany
5 h-index
38 publications
4K citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
5 h-index
11 publications
15.2K citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
25 publications
3K citations
1–8 of 660
JSS · 10 publications · 88.7K citations
10
h-index
8 publications · 310 citations
8
h-index
5 publications · 14.7K citations
5
h-index
JOSS · 5 publications · 5.6K citations
5
h-index
4 publications · 387 citations
4
h-index
1–5