Title: Odds Ratio Calculation for GAM(M)s & GLM(M)s
Provides structured output (data frame) of all predictors and their corresponding odds ratios and confident intervals
predictor distribution range for GAM(M)s. In both cases, confident intervals are returned additionally.
Calculated odds ratio of GAM(M)s can be inserted into the smooth function plot.
Imports: mgcv, MASS, stats, ggplot2, cowplot
Suggests: knitr, rmarkdown, nlme, grid, gtable, scales

Imports: mgcv, MASS, stats, ggplot2 (>= 2.2.0), cowplot
Suggests: knitr, rmarkdown, nlme, grid, gtable, scales, testthat,

person("Patrick", "Schratz", , "patrick.schratz@gmail.com", c("aut", "cre"))
Suggests: knitr, rmarkdown, grid, gtable, scales, testthat, pacman, gam

Author: Patrick Schratz [aut, cre] (0000-0003-0748-6624)

Provides structured output (data frame) of all predictors and their corresponding odds ratios and confident intervals for further analyses.
It helps to avoid false references of predictors and increments by specifying these parameters in a list instead of using 'exp(coef(model))' (standard approach of odds ratio calculation for GLMs) which just returns a plain numeric output.
For GAM(M)s, odds ratio calculation is highly simplified with this package since it takes care of the multiple 'predict()' calls of the chosen predictor while holding other predictors constant.
Also, this package allows odds ratio calculation of percentage steps across the whole predictor distribution range for GAM(M)s.
In both cases, confident intervals are returned additionally.
Imports: mgcv, MASS, stats, ggplot2 (>= 3.0.0), cowplot
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>)

Description: Simplified odds ratio calculation of GAM(M)s &
GLM(M)s.  Provides structured output (data frame) of all predictors
and their corresponding odds ratios and confident intervals for
further analyses.  It helps to avoid false references of predictors
and increments by specifying these parameters in a list instead of
using 'exp(coef(model))' (standard approach of odds ratio calculation
for GLMs) which just returns a plain numeric output.  For GAM(M)s,
odds ratio calculation is highly simplified with this package since it
takes care of the multiple 'predict()' calls of the chosen predictor
while holding other predictors constant.  Also, this package allows
odds ratio calculation of percentage steps across the whole predictor
distribution range for GAM(M)s.  In both cases, confident intervals
are returned additionally.  Calculated odds ratio of GAM(M)s can be
Imports: ggplot2 (>= 3.0.0), mgcv, stats, stringr, tibble
Suggests: cowplot, gam, grid, gtable, knitr, MASS, rmarkdown, scales,