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nevillejackson
dmm:Dyadic Mixed Model for Pedigree Data
Mixed model analysis for quantitative genetics with multi-trait responses and pedigree-based partitioning of individual variation into a range of environmental and genetic variance components for individual and maternal effects. Method documented in dmmOverview.pdf; dmm is an implementation of dispersion mean model described by Searle et al. (1992) "Variance Components", Wiley, NY. 'DMM' can do 'MINQUE', 'bias-corrected-ML', and 'REML' variance component estimates.
Maintained by Neville Jackson. Last updated 1 months ago.
2 stars 2.45 score 71 scripts
cran
md:Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method
Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.
Maintained by Genzo Kaga. Last updated 9 years ago.
1.95 scorecran
PerMallows:Permutations and Mallows Distributions
Includes functions to work with the Mallows and Generalized Mallows Models. The considered distances are Kendall's-tau, Cayley, Hamming and Ulam and it includes functions for making inference, sampling and learning such distributions, some of which are novel in the literature. As a by-product, PerMallows also includes operations for permutations, paying special attention to those related with the Kendall's-tau, Cayley, Ulam and Hamming distances. It is also possible to generate random permutations at a given distance, or with a given number of inversions, or cycles, or fixed points or even with a given length on LIS (longest increasing subsequence).
Maintained by Ekhine Irurozki. Last updated 2 months ago.
1 stars 1.00 score