WebJun 24, 2024 · Package ‘bkmr’ March 28, 2024 Title Bayesian Kernel Machine Regression Version 0.2.2 Description Implementation of a statistical approach for estimating the joint … WebDescription Bayesian kernel machine regression (from the 'bkmr' package) is a Bayesian semi-parametric generalized linear model approach under identity and probit links. There are a number of functions in this package that extend Bayesian kernel machine regression fits …
GroupPIP and condPIP in BKMR model in NHANES 2005-2010 …
Webbkmr is a R library typically used in Artificial Intelligence, Machine Learning applications. bkmr has no bugs, it has no vulnerabilities and it has low support. You can download it … WebJun 5, 2024 · 线性回归是一个简单的模型,它可以很容易解释:是截距项,其他权重β表示增加自变量对因变量的影响。. 例如,如果是1.2,那么对于中的每个单位增加,响应将增 … phipps center for the arts hudson
bkmrhat: vignettes/bkmrhat-vignette.Rmd
WebPython 0 BSD-3-Clause 378 0 0 Updated Oct 21, 2024. containers Public Bioinformatics containers Dockerfile 0 Apache-2.0 201 0 0 Updated Oct 7, 2024. aws-code Public ... bkmr Public Bayesian kernel machine regression R 0 11 0 … Webbkmr package - RDocumentation The R package bkmr implements Bayesian kernel machine regression, a statistical approach for estimating the joint health effects of multiple concurrent exposures. Additional information on the statistical methodology and on the computational details are provided in Bobb et al. 2015. WebFeb 26, 2024 · bkmr法提供了存在共线性问题的混合物解决方法,可计算总效应趋势(多污染物模式)、单独效应(单污染物模式)、相对重要性(pip)、非线性剂量效应曲线(cr曲线)、交 … phipps center hudson