Appendix A. Spread kernel fitting within logistic regression.
收藏NIAID Data Ecosystem2026-03-09 收录
数据链接：
官方服务：
资源简介：
Spread kernel fitting within logistic regression.
应用场景：
创建时间：
2016-08-05
相关数据集
Summary of parameter estimates of GWNBR models and assessing for spatial heterogeneity (wave 2).
Summary of parameter estimates of GWNBR models and assessing for spatial heterogeneity (wave 2).
NIAID Data Ecosystem40
Supplement 1. R functions for estimating parameters of the Cox process, model selections, and calculating percentage of variances explained by habitat heterogeneity and other clustering processes.
File List Spatial_variance_decomposition.r (MD5: 20310c761f123be5bbd329bb1d698e33) Description Spatial_variance_decomposition.r contains R code for estimating parameters of the Cox process, model sele
DataCite Commons2020-09-03 更新30
Semi-parametric goodness-of-fit test for clustered point processes with a shape-constrained pair correlation function
Specification of a parametric model for the intensity function is a fundamental task in statistics for spatial point processes. It is, therefore, crucial to be able to assess the appropriateness of a
Taylor & Francis Group2024-03-01 更新10
Supplement 1. R code and scripts for computing multilevel models with spatial autocorrelation for zooplankton spatial distribution data.
File List Zooplankton_Myvatn_Code.r (MD5: 77e338006e7b29cb5a5e4d08df920736) Description Zooplankton_Myvatn_Code.r contains R code to create multilevel models with spatial autocorrelation, analyze the
DataCite Commons2020-09-03 更新40
A Scalable Variational Bayes Approach to Fit High-dimensional Spatial Generalized Linear Mixed Models
Gaussian and discrete non-Gaussian spatial datasets are common across fields like public health, ecology, geosciences, and social sciences. Bayesian spatial generalized linear mixed models (SGLMMs) ar
DataCite Commons2025-09-24 更新10
