Marker-Based Estimation of Heritability Using Individual Plant
or Plot Data
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.

David Moriña (Centre for Research in Environmental Epidemiology, CREAL), Manuel Higueras (Universitat Autònoma de Barcelona and Public Health England) and Pedro Puig (Universitat Autònoma de Barcelona)
Probability functions and utilities for the generalized Hermite distribution

David Moriña, Manuel Higueras, Pedro Puig and María Oliveira
Probability functions and other utilities for the generalized Hermite distribution.

Probability functions for the generalized Hermite distribution

Efficient Sequential and Batch Estimation of Probability Density
Functions, Cumulative Distribution Functions and Quantiles
Michael Stephanou [aut, cre],
Melvin Varughese [ctb]
Facilitates estimation of the full probability density function,
cumulative distribution function and quantile function using Hermite series
based estimators. These estimators are particularly useful in the sequential
setting (both stationary and non-stationary) and one-pass batch estimation
setting for large data sets.
Based on: Stephanou, Michael, Varughese, Melvin and Iain Macdonald. "Sequential quantiles via Hermite series density estimation." Electronic Journal of Statistics 11.1 (2017): 570-607 <doi:10.1214/17-EJS1245> and
Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z>.
testthat, magrittr, knitr, rmarkdown, dplyr, data.table,
ggplot2, DT