Results 21 to 30 of about 1,111,830 (263)
TransModel: An R Package for Linear Transformation Model with Censored Data
Journal of Statistical Software, 2022 Linear transformation models, including the proportional hazards model and proportional odds model, under right censoring were discussed by Chen, Jin, and Ying (2002).
Jie Zhou, Jiajia Zhang, Wenbin Lu
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Least-Squares Means: The R Package lsmeans
Journal of Statistical Software, 2016 Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016)
Russell V. Lenth
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CEoptim: Cross-Entropy R Package for Optimization
Journal of Statistical Software, 2017 The cross-entropy (CE) method is a simple and versatile technique for optimization, based on Kullback-Leibler (or cross-entropy) minimization. The method can be applied to a wide range of optimization tasks, including continuous, discrete, mixed and ...
Tim Benham +3 more
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Portable C++ for R Packages [PDF]
The R Journal, 2011 Package checking errors are more com- mon on Solaris than Linux. In many cases, these errors are due to non-portable C++ code.
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Counterfactual: An R Package for Counterfactual Analysis [PDF]
The R Journal, 2017 15 pages, 4 ...
Chen, Mingli +3 more
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httk: R Package for High-Throughput Toxicokinetics
Journal of Statistical Software, 2017 Thousands of chemicals have been profiled by high-throughput screening programs such as ToxCast and Tox21; these chemicals are tested in part because most of them have limited or no data on hazard, exposure, or toxicokinetics. Toxicokinetic models aid in
Robert G. Pearce +4 more
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beadarrayFilter: An R Package to Filter Beads [PDF]
The R Journal, 2013 Microarrays enable the expression levels of thousands of genes to be measured simultaneously. However, only a small fraction of these genes are expected to be expressed under different experimental conditions. Nowadays, filtering has been introduced as a step in the microarray preprocessing pipeline.
Forcheh, Anyiawung Chiara +7 more
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The model confidence set package for R [PDF]
International Journal of Computational Economics and Econometrics, 2015 This paper presents the R package MCS which implements the Model Confidence Set (MCS) procedure recently developed by Hansen et al. (2011). The Hansen's procedure consists on a sequence of tests which permits to construct a set of 'superior' models, where the null hypothesis of Equal Predictive Ability (EPA) is not rejected at a certain confidence ...
Mauro Bernardi, Leopoldo Catania
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A Study on Factors Influencing Muslim’s Consumers Preferences Towards Takaful Products In Malaysia [PDF]
Revista Română de Statistică, 2015 Since the enactment of the Takaful Act 1984, Malaysia’s Takaful industry has been achieving momentum and increasingly recognized as a significant contributor to Malaysia’s overall Islamic financial system.
Kamarul Ariffin Mansor +4 more
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Measuring the impact of R packages
Proceedings of the Association for Information Science and Technology, 2017 ABSTRACTIn this poster, we describe a framework to measure the impact of R packages from an altmetrics perspective. This framework includes search statistics on Google, the number of downloads on CRAN (the official R package repository), the number of posts on Stack Overflow and the count of papers on the Public Library of Science (PLoS) journals ...
Kai Li 0010, Shenmeng Xu
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