Robust Regression in R An Appendix to An R Companion to Applied Regression, Second Edition
By John Fox, Sanford Weisberg. 2011
920 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6ef5048989079cc4367c266c984ae1f072a293a9
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Citations in the corpus
- 450K Epigenome-Wide Scan Identifies Differential DNA Methylation in Newborns Related to Maternal Smoking during Pregnancy (2012, methodology): “We examined the association between maternal plasma cotinine and methylation in cord blood at each CpG using robust linear regression to account for any potential outliers or heteroskedasticity in the data (Fox and Weisberg 2011).”
- brms: An R Package for Bayesian Multilevel Models Using Stan (2017, methodology): “In fact, this is an important advantage of Bayesian MCMC methods as compared to maximum likelihood approaches, which do not treat u as a parameter, but assume that it is part of the error term instead (cf., Fox and Weisberg, 2011).”
- Shifts in trait means and variances in North American tree assemblages: species richness patterns are loosely related to the functional space (2015, methodology): “We chose ANOVA type III approach in order to test for the presence of a main effect after the other main effects and the interaction were accounted for (function Anova in package car; Fox and Weisberg 2011).”
- Coastal habitats and their importance for the diversity of benthic communities: A species- and trait-based approach (2019, unknown): “An ANOVA of Type II Sum of Squares from the car package (Fox and Weisberg, 2011) was applied to conduct the F-test on the glm outputs and the Wald Chi-Squared test on gls outputs.”
- Plant-hummingbird interaction networks in urban areas: Generalization and the importance of trees with specialized flowers as a nectar resource for pollinator conservation (2019, methodology): “To attain a probability for each categorical fi xed factor, we compared the model with and without each factor using the function Anova() in the car package (Fox and Weisberg, 2011).”