Other packages > Find by keyword >

MEGB  

Gradient Boosting for Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MEGB", "0.1")



Attach the package and use:
library("MEGB")
Maintained by
Oyebayo Ridwan Olaniran
[Scholar Profile | Author Map]
First Published: 2025-01-29
Latest Update: 2025-01-29
Description:
Gradient boosting is a powerful statistical learning method known for its ability to model complex relationships between predictors and outcomes while performing inherent variable selection. However, traditional gradient boosting methods lack flexibility in handling longitudinal data where within-subject correlations play a critical role. In this package, we propose a novel approach Mixed Effect Gradient Boosting ('MEGB'), designed specifically for high-dimensional longitudinal data. 'MEGB' incorporates a flexible semi-parametric model that embeds random effects within the gradient boosting framework, allowing it to account for within-individual covariance over time. Additionally, the method efficiently handles scenarios where the number of predictors greatly exceeds the number of observations (p>>n) making it particularly suitable for genomics data and other large-scale biomedical studies.
How to cite:
Oyebayo Ridwan Olaniran (2025). MEGB: Gradient Boosting for Longitudinal Data. R package version 0.1, https://cran.r-project.org/web/packages/MEGB. Accessed 03 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited MEGB R package
View MEGB citation profile
Other R packages that MEGB depends, imports, suggests or enhances
Complete documentation for MEGB
Functions, R codes and Examples using the MEGB R package
Full MEGB package functions and examples
Downloads during the last 30 days
03/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/02Downloads for MEGB02468101214TrendBars

Today's Hot Picks in Authors and Packages

automl  
Deep Learning with Metaheuristic
Fits from simple regression to highly customizable deep neural networks either with gradient descen ...
Download / Learn more Package Citations See dependency  
jointDiag  
Joint Approximate Diagonalization of a Set of Square Matrices
Different algorithms to perform approximate joint diagonalization of a finite set of square matrice ...
Download / Learn more Package Citations See dependency  
RobustANOVA  
Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality
Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetri ...
Download / Learn more Package Citations See dependency  
RZooRoH  
Partitioning of Individual Autozygosity into Multiple Homozygous-by-Descent Classes
Functions to identify Homozygous-by-Descent (HBD) segments associated with runs of homozygosity (ROH ...
Download / Learn more Package Citations See dependency  
RI2by2  
Randomization Inference for Treatment Effects on a Binary Outcome
Computes attributable effects based confidence interval, permutation test confidence interval, or as ...
Download / Learn more Package Citations See dependency  
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  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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