Testing Code for JcvPCA and JsvCRP.

Figshare2025-08-05 更新2026-04-28 收录

主成分分析验证

生态统计模型

数据链接：

https://figshare.com/articles/dataset/Testing_Code_for_JcvPCA_and_JsvCRP_/29831509 数据链接链接失效反馈

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资源简介：

This file contains the code that implements both metrics in python and apply them on a simulated dataset. (ZIP)

创建时间：

2025-08-05

Model information criteria of five bivariate mixture models for describing the HPV16 and HPV18 antibody concentrations.

HPV抗体建模

生态统计模型

See Table 1 for explanation of scenarios. : posterior mean deviance. : deviance of posterior means.: effective dimension as [26]. DIC(1): deviance information criterion as . : effective dimension as

NIAID Data Ecosystem70

Model comparison and goodness of fit test in the multilevel analysis.

多层级建模

生态统计模型

Model comparison and goodness of fit test in the multilevel analysis.

Figshare2022-12-21 更新50

Analysis of variance results for change in dial readings over the course of science messages for the TNet and TSLR statistical models.

科学传播效果评估

生态统计模型

Analysis of variance results for change in dial readings over the course of science messages for the TNet and TSLR statistical models.

Figshare2019-12-09 更新20

SEN and PPV of test statistics based on the Poisson and the Hypergeometric models.

生态统计模型

假设测试

P: Denote the test statistic based on the Poisson probability model. H: Denote the test statistic based on the Hypergeometric probability model. ◊: Denote that the test statistic based on the Poisson

NIAID Data Ecosystem50

ABrox—A user-friendly Python module for approximate Bayesian computation with a focus on model comparison

近似贝叶斯计算

生态统计模型

We give an overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods that enable flexible and likelihood-free model comparison and parameter estimation.

Figshare2018-03-09 更新40

Testing Code for JcvPCA and JsvCRP.

资源简介：

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