Other packages > Find by keyword >

subsemble  

An Ensemble Method for Combining Subset-Specific Algorithm Fits
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("subsemble", "0.1.0")



Attach the package and use:
library("subsemble")
Maintained by
Erin LeDell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-28
Latest Update: 2022-01-24
Description:
The Subsemble algorithm is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of k-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble. The paper, "Subsemble: An ensemble method for combining subset-specific algorithm fits" is authored by Stephanie Sapp, Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.
How to cite:
Erin LeDell (2014). subsemble: An Ensemble Method for Combining Subset-Specific Algorithm Fits. R package version 0.1.0, https://cran.r-project.org/web/packages/subsemble. Accessed 18 Feb. 2025.
Previous versions and publish date:
0.0.8 (2014-06-28 20:57), 0.0.9 (2014-07-01 09:37)
Other packages that cited subsemble R package
View subsemble citation profile
Other R packages that subsemble depends, imports, suggests or enhances
Complete documentation for subsemble
Functions, R codes and Examples using the subsemble R package
Some associated functions: predict.subsemble . subsemble-package . subsemble . 
Some associated R codes: control.R . predict.subsemble.R . subsemble.R . zzz.R .  Full subsemble package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  
fclust  
Fuzzy Clustering
Algorithms for fuzzy clustering, cluster validity indices and plots for cluster validity and visuali ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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