Showing 4 of total 4 results (show query)
cran
nlme:Linear and Nonlinear Mixed Effects Models
Fit and compare Gaussian linear and nonlinear mixed-effects models.
Maintained by R Core Team. Last updated 2 months ago.
6 stars 9.77 score 8.8k dependents
tanaylab
misha:Toolkit for Analysis of Genomic Data
A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
Maintained by Aviezer Lifshitz. Last updated 19 days ago.
4 stars 5.86 score
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
gsucarrat
gfunctions:G-Functions
Modified versions of the lag() and summary() functions: glag() and gsummary(). The prefix 'g' is a reminder of who to blame if things do not work as they should.
Maintained by Genaro Sucarrat. Last updated 12 months ago.
1.00 score