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oddsratio
View on CRAN: Click
here
Download and install oddsratio package within the R console
Install from CRAN:
install.packages("oddsratio")
Install from Github:
library("remotes")
install_github("cran/oddsratio")
Install by package version:
library("remotes")
install_version("oddsratio", "2.0.1")
Attach the package and use:
library("oddsratio")
Maintained by
Patrick Schratz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-12
Latest Update: 2020-05-24
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
inserted into the smooth function plot.
How to cite:
Patrick Schratz (2016). oddsratio: Odds Ratio Calculation for GAM(M)s & GLM(M)s. R package version 2.0.1, https://cran.r-project.org/web/packages/oddsratio
Previous versions and publish date:
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imports, suggests or enhances
Functions, R codes and Examples using
the oddsratio R package
Some associated functions: data_gam . data_glm . gam_to_df . insert_or . no_plot . or_gam . or_glm . plot_gam .
Some associated R codes: data.R . helper_funs.R . insert_or.R . or_gam.R . or_glm.R . plot_gam.R . Full oddsratio package functions and examples
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