R codes

NIAID Data Ecosystem2026-03-11 收录

统计建模

混合模型预测

数据链接：

https://doi.org/10.7910/DVN/COYUWP 数据链接链接失效反馈

官方服务：

资源简介：

R codes for data preprocessing and hybrid model building to establish monthly population distribution

创建时间：

2020-04-26

Model fit (GAMM) #8

生态学

统计建模

.Rds files containing the model fits of 9 candidate models, modelling the spatio-temporal activity ("diel space use") of wild boar in Meerdaal (Belgium).Model #8

DataCite Commons2024-04-04 更新100

Additional file 6 of Comparison of statistical low-frequency earthquake activity models

地震活动

统计建模

Additional file 6: Table S5. Hybrid model parameter estimates.

DataCite Commons2024-08-15 更新80

A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies With Nonignorable Missingness With Application to an Acute Schizophrenia Clinical Trial

统计建模

临床试验

We develop a Bayesian nonparametric model for a longitudinal response in the presence of nonignorable missing data. Our general approach is to first specify a working model that flexibly models the mi

DataCite Commons2020-09-04 更新70

Appendix D. The parameter estimates from the model fits with their AICc's.

统计建模

模型评估

The parameter estimates from the model fits with their AICc's.

DataCite Commons2020-09-04 更新90

Quasi-maximum likelihood estimates and standard errors for the maize model.

统计建模

农业

Quasi-maximum likelihood estimates and standard errors for the maize model.

NIAID Data Ecosystem70