MOESM1 of Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values
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https://springernature.figshare.com/articles/MOESM1_of_Performance_of_Hamiltonian_Monte_Carlo_and_No-U-Turn_Sampler_for_estimating_genetic_parameters_and_breeding_values/11352542/1
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Additional file 1. RStan code for the NUTS algorithm. 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 effect, K: number of all animals, N: number of observations, X: fixed effects design matrix, Z: random effects design matrix, Y: response variable, A: relationship matrix.
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figshare
创建时间：
2019-12-11
