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Average biases, root mean squared errors (RMSEs), coverage probabilities of 95% confidence intervals and mean confidence intervals widths (CI) for GLLVM estimates based on the plain R and the TMB implementations for the variational approximation and the Laplace approximation methods.

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NIAID Data Ecosystem2026-03-11 收录
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https://figshare.com/articles/dataset/Average_biases_root_mean_squared_errors_RMSEs_coverage_probabilities_of_95_confidence_intervals_and_mean_confidence_intervals_widths_CI_for_GLLVM_estimates_based_on_the_plain_R_and_the_TMB_implementations_for_the_variational_approximation_and_the_Laplace_/8065874
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资源简介:
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.

针对记录了37个样点处30、60、100、140个物种存在-缺失数据的印尼鸟类数据集,本研究拟合了带有概率单位连接函数(probit link function)的伯努利广义线性潜变量模型(Generalized Linear Latent Variable Model, GLLVM),并由此得到了该数据集对应的真实模型参数。
创建时间:
2019-05-01
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