Other packages > Find by keyword >

IntegratedMRF  

Integrated Prediction using Uni-Variate and Multivariate Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IntegratedMRF", "1.1.9")



Attach the package and use:
library("IntegratedMRF")
Maintained by
Raziur Rahman
[Scholar Profile | Author Map]
First Published: 2016-04-16
Latest Update: 2018-07-05
Description:
An implementation of a framework for drug sensitivity prediction from various genetic characterizations using ensemble approaches. Random Forests or Multivariate Random Forest predictive models can be generated from each genetic characterization that are then combined using a Least Square Regression approach. It also provides options for the use of different error estimation approaches of Leave-one-out, Bootstrap, N-fold cross validation and 0.632+Bootstrap along with generation of prediction confidence interval using Jackknife-after-Bootstrap approach.
How to cite:
Raziur Rahman (2016). IntegratedMRF: Integrated Prediction using Uni-Variate and Multivariate Random Forests. R package version 1.1.9, https://cran.r-project.org/web/packages/IntegratedMRF. Accessed 09 May. 2025.
Previous versions and publish date:
1.0 (2016-04-16 04:32), 1.1.4 (2016-07-22 22:42), 1.1.5 (2016-08-10 21:28), 1.1.8 (2017-06-22 22:36)
Other packages that cited IntegratedMRF R package
View IntegratedMRF citation profile
Other R packages that IntegratedMRF depends, imports, suggests or enhances
Complete documentation for IntegratedMRF
Downloads during the last 30 days
04/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0205/0305/0405/0505/0605/07Downloads for IntegratedMRF0246810121416182022242628TrendBars

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SACOBRA  
Self-Adjusting COBRA
Performs surrogate-assisted optimization for expensive black-box constrained problems. ...
Download / Learn more Package Citations See dependency  
disparityfilter  
Disparity Filter Algorithm for Weighted Networks
The disparity filter algorithm is a network reduction technique to identify the 'backbone' structur ...
Download / Learn more Package Citations See dependency  
assertive.numbers  
Assertions to Check Properties of Numbers
A set of predicates and assertions for checking the properties of numbers. This is mainly for use ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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