Title: Predictive Inference on Totals and Averages of Finite
Populations Segmented in Planned and Unplanned Domains.
Author: Juan Carlos Martinez-Ovando, Sergio I. Olivares-Guzman, Adriana Roldan-Rodriguez.
Maintainer: Juan Carlos Martinez-Ovando <juan.martinez@banxico.org.mx>
Description: This package computes Bayesian predictive inference on totals and averages of finite populations segmented in planned and unplanned domains. Inference is based on Bayesian nonparametric methods using species-sampling models (specifically the Dirichlet process).
Acknowledgement: The authors appreciate advice from Pedro
Gonzalez-Alegria and Claudia Velazquez-Villegas of Banco de
Packaged: 2014-04-25 00:41:58 UTC; JuanCarlos

Title: Genomic Prediction of Hybrid Performance
Author: Yang Xu, Yanru Cui, Shizhong Xu, Chenwu Xu
Description: Performs genomic prediction of hybrid performance with genomic best linear unbiased prediction (Xu S et al (2014) <doi:10.1073/pnas.1413750111>). The package also provides fast cross-validation and mating design for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).

Author: Yang Xu, Guangning Yu, Yanru Cui, Shizhong Xu, Chenwu Xu
Description: Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, Random forest and XGBoost. It also provides fast cross-validation and mating design scheme for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).
Imports: BGLR, pls, glmnet, randomForest, xgboost, foreach, doParallel,
Packaged: 2021-08-15 03:12:16 UTC; Administrator

Packaged: 2022-11-04 12:11:55 UTC; Administrator

Title: Draw Three Dimensional Predict Plot Using Package 'rgl'
Description: Draw 2 dimensional and three dimensional plot for multiple regression models using package 'ggplot2' and 'rgl'.
Supports linear models (lm), generalized linear models (glm) and local polynomial regression fittings (loess).
Imports: ggplot2(>= 3.1.0), rgl(>= 0.99.16), dplyr, ggiraphExtra,
modelr, prediction, purrr, rlang, stringr, magrittr, stats,
Packaged: 2019-03-06 14:36:23 UTC; cardiomoon