Scaled mean Procrustes errors of predicted latent variables and estimated latent variable loadings for GLLVM estimates based on the plain R and the TMB implementations for the variational approximation and the Laplace approximation methods.
收藏Figshare2019-05-01 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Scaled_mean_Procrustes_errors_of_predicted_latent_variables_and_estimated_latent_variable_loadings_for_GLLVM_estimates_based_on_the_plain_R_and_the_TMB_implementations_for_the_variational_approximation_and_the_Laplace_approximation_methods_/8065877
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Values are scaled with the number of sites and number of species for comparisons. The true model parameters were obtained by fitting a Bernoulli GLLVM with probit link function for the Indonesian birds data with presence-absences of m = 30, 60, 100 and 140 species recorded at n = 37 sites.
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2019-05-01



