Supplementary Tables and Figures. Supplementary Note 1: R code to compare lme4qtl and pedigreemm R packages. Supplementary Note 2: Multi-trait and multi-environment linear mixed models. Supplementary Note 3: R code applied to the GAIT2 data. (PDF 1341 kb
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
The package migtlm is for genetic trait loci (GTL) mapping in experimental crosses using the approac...
International audienceBackground: Quantitative trait locus (QTL) mapping in genetic data often invol...
Background: Quantitative trait locus (QTL) mapping in genetic data often involves analysis of correl...
Abstract Background Quantitative trait locus (QTL) mapping in genetic data often involves analysis o...
The lme4 package provides R functions to fit and analyze several different types of mixed-effects mo...
The appendix explains how we computed linear mixed effect models for data structured in different le...
The lme4 package provides R functions to fit and analyze several different types of mixed-effects mo...
The appendix explains how we computed linear mixed effect models for data structured in different le...
This file comprise the individual database (i.e multilocus heterozygosity parameters and fitness rel...
This file comprise the individual database (i.e multilocus heterozygosity parameters and fitness rel...
R-code for generalized and general linear mixed models of variegated and splendid fairy-wren reprodu...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
- R code for GLMM analysis of simulated data in “Computational issues” section. This file provides R...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
The package migtlm is for genetic trait loci (GTL) mapping in experimental crosses using the approac...
International audienceBackground: Quantitative trait locus (QTL) mapping in genetic data often invol...
Background: Quantitative trait locus (QTL) mapping in genetic data often involves analysis of correl...
Abstract Background Quantitative trait locus (QTL) mapping in genetic data often involves analysis o...
The lme4 package provides R functions to fit and analyze several different types of mixed-effects mo...
The appendix explains how we computed linear mixed effect models for data structured in different le...
The lme4 package provides R functions to fit and analyze several different types of mixed-effects mo...
The appendix explains how we computed linear mixed effect models for data structured in different le...
This file comprise the individual database (i.e multilocus heterozygosity parameters and fitness rel...
This file comprise the individual database (i.e multilocus heterozygosity parameters and fitness rel...
R-code for generalized and general linear mixed models of variegated and splendid fairy-wren reprodu...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
- R code for GLMM analysis of simulated data in “Computational issues” section. This file provides R...
The wgaim (whole genome average interval mapping) package developed in the R system for statistical ...
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
The package migtlm is for genetic trait loci (GTL) mapping in experimental crosses using the approac...