The proposed distance can be decomposed into factors that help to distinguish between influence on the estimation of fixed effects and on the prediction of ...
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Sep 5, 2023 · The first formula you are citing above is not Cook's original distance measure, per se, but is the measure proposed by Pregibon in 1981.
The proposed distance can be decomposed into factors that help to distinguish between influence on the estimation of fixed effects and on the prediction of ...
Jan 1, 2020 · The proposed distance can be decomposed into factors that help to distinguish between influence on the estimation of fixed effects and on the ...
Jun 2, 2024 · The proposed distance can be decomposed into factors that help to distinguish between influence on the estimation of fixed effects and on the ...
Sep 19, 2018 · Good afternoon, I have been using the glmmTMB package to fit a beta mixed-effect regression model to a variable between 0 and 1.
Jul 18, 2016 · Hello all, I wanted to generate Cook's D after meglm command, so I used I used 'predict cooksd, cooksd', but it says the option is not ...
This function produces Cook's distance plots for a linear model obtained from functions aov, lm, glm, gls, lme, or lmer.
Nov 23, 2021 · Cook's distance for generalized linear mixed models" to check if the outliers are influential. I found the R code referenced in the paper ...
One of these measures is Cook's Distance. Although it seems natural to use Cook's Distance as an influence measure for mixed effects regression models, some ...