Scaled mean Procrustes errors of predicted latent variables and estimated latent variable loadings for negative binomial GLLVM estimates based on the plain R and the TMB implementations for the variational approximation and the Laplace approximation methods.
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接：
https://figshare.com/articles/dataset/Scaled_mean_Procrustes_errors_of_predicted_latent_variables_and_estimated_latent_variable_loadings_for_negative_binomial_GLLVM_estimates_based_on_the_plain_R_and_the_TMB_implementations_for_the_variational_approximation_and_the_Laplace_approximation_metho/8065868
下载链接
链接失效反馈官方服务：
资源简介：
The true model parameters were obtained by fitting a negative binomial GLLVM for the testate amoebae data with counts of m = 48 species recorded at n = 50, 120, 190 and 260 sites.
创建时间：
2019-05-01
