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predtools  

Prediction Model Tools
View on CRAN: Click here


Download and install predtools package within the R console
Install from CRAN:
install.packages("predtools")

Install from Github:
library("remotes")
install_github("cran/predtools")

Install by package version:
library("remotes")
install_version("predtools", "0.0.3")



Attach the package and use:
library("predtools")
Maintained by
Amin Adibi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-05
Latest Update: 2023-06-05
Description:
Provides additional functions for evaluating predictive models, including plotting calibration curves and model-based Receiver Operating Characteristic (mROC) based on Sadatsafavi et al (2021) .
How to cite:
Amin Adibi (2021). predtools: Prediction Model Tools. R package version 0.0.3, https://cran.r-project.org/web/packages/predtools
Previous versions and publish date:
0.0.2 (2021-10-05 10:10)
Other packages that cited predtools R package
View predtools citation profile
Other R packages that predtools depends, imports, suggests or enhances
Functions, R codes and Examples using the predtools R package
Some associated functions: calc_NB_moments . calc_mROC_stats . calibration_plot . dev_data . evpi_val . gusto . mAUC . mROC . mROC_analysis . mROC_inference . mu_max_trunc_bvn . odds_adjust . pred_summary_stat . val_data . 
Some associated R codes: RcppExports.R . calibPlot.R . core.R . dev_data.R . gusto.R . interceptAdj.R . mROC.R . predtools.R . val_data.R . voipred.R .  Full predtools package functions and examples
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