Additional file 1 of Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data

Additional file 1. RStan code for the NUTS algorithm with an LKJ prior of a multi-trait animal model. RStan is the R interface to Stan. The user writes the analysis model in the test.stan file and runs Stan by using test.stan in R. The user needs to input the following parameters: J, number of fixed effects; K, number of traits; Q, total number of animals; N, number of observations; X, design matrix for fixed effects; Z, design matrix for random effects; Y, response variable; and A, relationship matrix.

附加文件1：用于多性状动物模型（multi-trait animal model）且带有LKJ先验（LKJ prior）的无掉头采样算法（No-U-Turn Sampler，NUTS）RStan代码。RStan是Stan的R语言接口。使用者需在test.stan文件中编写分析模型，并在R环境中通过该文件运行Stan。使用者需输入以下参数：J为固定效应的数量；K为性状的数量；Q为动物总数量；N为观测值的数量；X为固定效应设计矩阵；Z为随机效应设计矩阵；Y为响应变量；A为亲缘关系矩阵。