Other packages > Find by keyword >

blockwise  

Reduced Modeling for Tabular Data with Blockwise Missingness
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("blockwise", "0.1.2")



Attach the package and use:
library("blockwise")
Maintained by
Karthik Srinivasan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-24
Latest Update: 2026-06-24
Description:
Supervised learning on tabular data with blockwise missing patterns, using the Blockwise Reduced Modeling (BRM) method of Srinivasan, Currim, and Ram (2025) <doi:10.1287/ijds.2022.9016>. BRM partitions the training data into overlapping subsets based on per-row feature-missing patterns, fits one user-supplied learner per subset with minimal imputation, and at prediction time routes each test instance to the best-matching subset model. The interface is learner-agnostic: any fit-and-predict pair can be plugged in, and convenience specifications are provided for linear models, tree models, random forests, and gradient boosting.
How to cite:
Karthik Srinivasan (2026). blockwise: Reduced Modeling for Tabular Data with Blockwise Missingness. R package version 0.1.2, https://cran.r-project.org/web/packages/blockwise. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited blockwise R package
View blockwise citation profile
Other R packages that blockwise depends, imports, suggests or enhances
Complete documentation for blockwise
Functions, R codes and Examples using the blockwise R package
Full blockwise package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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