Computation of effects under linear, logistic and Poisson regression models with transformed variables. Logarithm and power transformations are allowed. Effects can be displayed both numerically and graphically in both the original and the transformed space of the variables.
|Author||Jose Barrera-Gomez and Xavier Basagana|
|Date of publication||2016-05-05 02:06:42|
|Maintainer||Jose Barrera-Gomez <firstname.lastname@example.org>|
|License||GPL (>= 2)|
cotinine: Birth Weight and Cord Serum Cotinine
effect: Effects Estimate in Linear, Logistic and Poisson Regression...
effectInfo: Interpretation of Effects in Linear, Logistic and Poisson...
feld1: Cat Allergen Concentrations
glucose: Glucose and Triglycerides Levels in Blood
imt: Intima Media Thickness of the Carotid Artery
MY: Expected Adjusted Median or Generalized Mean
summary.tlm: Summarizing Linear, Logistic and Poisson Models Fits with...
tlm: Fitting Linear, Logistic and Poisson Regression Models with...
tlm-internal: Internal tlm functions
tlm-package: Effects under Linear, Logistic and Poisson Regression Models...