Packaged: 2019-05-08 16:57:50 UTC; gilgamesh

Packaged: 2019-05-25 03:00:07 UTC; gilgamesh

Packaged: 2019-09-22 00:29:00 UTC; gilgamesh

Packaged: 2019-11-04 19:27:16 UTC; gilgamesh

Packaged: 2020-02-17 02:02:59 UTC; gilgamesh

Packaged: 2021-03-04 01:57:05 UTC; gilgamesh

person("Michael", "Schweinberger", email = "msq5c@missouri.edu", role = c("cre", "aut")),
person("Jonathan", "Stewart", email = "jrstewart@fsu.edu", role = c("aut")),
person("Duy", "Vu", email = "duy.vu@unimelb.edu.au", role = c("aut")),
Packaged: 2021-09-02 20:08:37 UTC; gilgamesh

Packaged: 2022-06-09 19:03:20 UTC; gilgamesh

Title: Identify Heritable Methylation Marks
Description: A novel statistical method based on expectation maximisation (EM)
algorithm and genetic segregation analysis to identify heritable DNA
methylation marks. Details about the method can be found in

Title: Marker-based Estimation of Heritability Using Individual Plant
Author: Willem Kruijer, with a contribution from Ian White (the internal function pin). Contains data collected by Padraic Flood and Rik Kooke.
Description: implements marker-based estimation of heritability when observations on genetically identical replicates are available. These can be either observations on individual plants or plot-level data in a field trial. Heritability can then be estimated using a mixed model for the individual plant or plot data. For comparison, also mixed-model based estimation using genotypic means and estimation of repeatability with ANOVA are implemented. For illustration the package contains several datasets for the model species Arabidopsis thaliana.

Title: Marker-Based Estimation of Heritability Using Individual Plant
Description: Implements marker-based estimation of heritability when observations on genetically identical replicates are available. These can be either observations on individual plants or plot-level data in a field trial. Heritability can then be estimated using a mixed model for the individual plant or plot data. For comparison, also mixed-model based estimation using genotypic means and estimation of repeatability with ANOVA are implemented. For illustration the package contains several datasets for the model species Arabidopsis thaliana.