library(PSweight) PSweight <- PSweight(ps.formula = formula.ps, data = lindner, weight = "overlap", # 重叠加权 yname = "cardbill", # 因变量 family = "gaussian", ps.method = "glm", out.method = "glm" ) #返回结果,效应估计及其标准误、置信区间、P值 summary(PSweight) ## ## Clo...
Poisson-Inverse_Gaussian Distribution with GLM
r scalar – number of nuisance regressors v scalar – number of voxels (e.g. in ROI) standard GLM: y=Xβ+ε,ε∼N(0,σ2V) [Section 2.2] y n × 1 data a single voxel’s fMRI signal X n× p model design matrix of the standard GLM β p × 1 parameter condit...
bayes: glm r i.beetle ldose, family(binomial n) link(cloglog) Burn-in ... Simulation ... Model summary Likelihood: r ~ glm(xb_r) Prior: {r:i.beetle ldose _cons} ~ normal(0,10000) (1) Parameters are elements of the linear form xb_r. Bayesian generalized linear models Random-...
EPI data were first pre-processed with SPM (http://www.fil.ion.ucl.ac.uk/spm/software/spm12/; version SPM 12) by applying motion correction, slice-timing correction, normalization, and spatial smoothing (3D isotropic Gaussian kernel with the full-width-half-maximu m = 8 mm)...
EPI data were first pre-processed with SPM (http://www.fil.ion.ucl.ac.uk/spm/software/spm12/; version SPM 12) by applying motion correction, slice-timing correction, normalization, and spatial smoothing (3D isotropic Gaussian kernel with the full-width-half-maximu m = 8 mm)...
Hence, this study is designed to propose GLM-based control charts when the response variable follows the inverse Gaussian (IG) distribution. In GLM-based control charts, deviance and Pearson residuals of the IG regression are considered as plotting statistics. For the evaluation purpose, a ...
Hence, this study is designed to propose GLM-based control charts when the response variable follows the inverse Gaussian (IG) distribution. In GLM-based control charts, deviance and Pearson residuals of the IG regression are considered as plotting statistics. For the evaluation purpose, a ...