Other packages > Find by keyword >

mcb  

Model Confidence Bounds
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mcb", "0.1.15")



Attach the package and use:
library("mcb")
Maintained by
Heming Deng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-02
Latest Update: 2020-06-05
Description:
When choosing proper variable selection methods, it is important to consider the uncertainty of a certain method. The model confidence bound for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level. A good variable selection method is the one of which the model confidence bound under a certain confidence level has the shortest width. When visualizing the variability of model selection and comparing different model selection procedures, model uncertainty curve is a good graphical tool. A good variable selection method is the one of whose model uncertainty curve will tend to arch towards the upper left corner. This function aims to obtain the model confidence bound and draw the model uncertainty curve of certain single model selection method under a coverage rate equal or little higher than user-given confidential level. About what model confidence bound is and how it work please see Li,Y., Luo,Y., Ferrari,D., Hu,X. and Qin,Y. (2019) Model Confidence Bounds for Variable Selection. Biometrics, 75:392-403. . Besides, 'flare' is needed only you apply the SQRT or LAD method ('mcb' totally has 8 methods). Although 'flare' has been archived by CRAN, you can still get it in and the latest version is useful for 'mcb'.
How to cite:
Heming Deng (2020). mcb: Model Confidence Bounds. R package version 0.1.15, https://cran.r-project.org/web/packages/mcb. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.9 (2020-05-02 19:20)
Other packages that cited mcb R package
View mcb citation profile
Other R packages that mcb depends, imports, suggests or enhances
Complete documentation for mcb
Functions, R codes and Examples using the mcb R package
Some associated functions: diabetes . mcb.compare . mcb . 
Some associated R codes: mcb.R .  Full mcb package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA