maxLik: A package for maximum likelihood estimation in R

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Henningsen, Arne, and Ott Toomet. “MaxLik: A Package for Maximum Likelihood Estimation in R”. Computational Statistics, vol. 26, no. 3, 2010, pp. 443-58, https://doi.org/10.1007/s00180-010-0217-1.
Henningsen, A., & Toomet, O. (2010). maxLik: A package for maximum likelihood estimation in R. Computational Statistics, 26(3), 443-458. https://doi.org/10.1007/s00180-010-0217-1
Henningsen, Arne, and Ott Toomet. “MaxLik: A Package for Maximum Likelihood Estimation in R”. Computational Statistics 26, no. 3 (2010): 443-58. https://doi.org/10.1007/s00180-010-0217-1.
Henningsen A, Toomet O. maxLik: A package for maximum likelihood estimation in R. Computational Statistics. 2010;26(3):443-58.
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The category Science: Mathematics 102 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled maxLik: A package for maximum likelihood estimation in R and was published in 2010. The most recent citation comes from a 2024 study titled A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate. This article reached its peak citation in 2023, with 69 citations. It has been cited in 171 different journals, 20% of which are open access. Among related journals, the Symmetry cited this research the most, with 16 citations. The chart below illustrates the annual citation trends for this article.
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