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tlm (version 0.1.5)

Effects under Linear, Logistic and Poisson Regression Models with Transformed Variables

Description

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.

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Version

Install

install.packages('tlm')

Monthly Downloads

169

Version

0.1.5

License

GPL (>= 2)

Maintainer

Jose Barrera-Gomez

Last Published

April 10th, 2017

Functions in tlm (0.1.5)

tlm-internal

Internal tlm functions
tlm-package

Effects under Linear, Logistic and Poisson Regression Models with Transformed Variables
feld1

Cat Allergen Concentrations
glucose

Glucose and Triglycerides Levels in Blood
effect

Effects Estimate in Linear, Logistic and Poisson Regression Models with Transformed Variables
effectInfo

Interpretation of Effects in Linear, Logistic and Poisson Models with Transformed Variables
MY

Expected Adjusted Median or Generalized Mean
cotinine

Birth Weight and Cord Serum Cotinine
tlm

Fitting Linear, Logistic and Poisson Regression Models with Transformed Variables
imt

Intima Media Thickness of the Carotid Artery
summary.tlm

Summarizing Linear, Logistic and Poisson Models Fits with Transformed Variables.