README.md
In vancak/NNTcalculator: Calculator of unadjusted, adjusted and marginal NNT
nntcalc: The Number Needed to Treat (NNT) calculator
The nntcalc R-package provides functions to calculate the unadjusted, the conditional (adjusted), and the harmonic mean (marginal) Laupacis NNT with the corresponding 95% confidence intervals. Available regression models include ANOVA, linear regression and logistic regression, and Cox models. In addition, the package provides a function to calculate the estimators of the Kraemer & Kupfer's NNT.
For the installation of nntcalc you need to load first the devtools package by library(devtools), and then type
install_github("https://github.com/vancak/NNTcalculator")
Tha package is called nntcalc. To load it after installation type
library(nntcalc)
For further details and examples please see package manual.
NOTE: The source code for the simulations presented in the manuscript "The Number Needed to Treat Adjusted for Explanatory Variables in Regression and Survival Analysis: Theory and Application" is available here.
vancak/NNTcalculator documentation built on April 7, 2022, 3:48 a.m.
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nntcalc: The Number Needed to Treat (NNT) calculator
The nntcalc R-package provides functions to calculate the unadjusted, the conditional (adjusted), and the harmonic mean (marginal) Laupacis NNT with the corresponding 95% confidence intervals. Available regression models include ANOVA, linear regression and logistic regression, and Cox models. In addition, the package provides a function to calculate the estimators of the Kraemer & Kupfer's NNT.
For the installation of nntcalc you need to load first the devtools package by library(devtools), and then type
install_github("https://github.com/vancak/NNTcalculator")
Tha package is called nntcalc. To load it after installation type
library(nntcalc)
For further details and examples please see package manual.
NOTE: The source code for the simulations presented in the manuscript "The Number Needed to Treat Adjusted for Explanatory Variables in Regression and Survival Analysis: Theory and Application" is available here.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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