Diagnostic Checking in Regression Relationships
By Achim Zeileis, Torsten Hothorn. 2015
2,119 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/58b4d02ee546c30e31a3ead4ccb956fc451e6e95
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Citations in the corpus
- Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R (2020, background): “…are constructed to insert the resulting covariance matrix estimate in different Wald-type inference functions, as confint() from stats ( R Core Team 2018), coeftest() and waldtest() from lmtest (Zeileis and Hothorn 2002), linearHypothesis() and deltaMethod() from car (Fox and Weisberg 2011).”
- Dose-Response Analysis Using R (2015, methodology): “Standard errors, which are robust against misspecification of the distributional assumptions, may easily be obtained by means of the packages lmtest and sandwich as shown in Example 2 in S1 File [41, 42].”
- Characterizing forest structural types and shelterwood dynamics from Lorenz-based indicators predicted by airborne laser scanning (2013, methodology): “The overall beta regression model was evaluated with the lrtest function (Zeileis and Hothorn 2002) as a likelihood ratio contrasting the beta density distribution in eq.”
- Hydrothermal-time-to-event models for seed germination (2018, unknown): “, 2017), together with the function “coeftest” in the “lmtest” package (Zeileis and Hothorn, 2002).”
- Can we derive macroecological patterns from primary Global Biodiversity Information Facility data (2015, methodology): “The Breusch–Pagan test was used to test for homoscedasticity of residuals and performed with the package lmtest (Zeileis & Hothorn, 2002; Hothorn et al., 2013).”
- Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species (2015, methodology): “The Wald likelihood ratio test was conducted using the lmtest package (Zeileis and Hothorn, 2002).”