Other packages > Find by keyword >

bigSurvSGD  

Big Survival Analysis Using Stochastic Gradient Descent
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bigSurvSGD", "0.0.1")



Attach the package and use:
library("bigSurvSGD")
Maintained by
Aliasghar Tarkhan
[Scholar Profile | Author Map]
First Published: 2020-10-01
Latest Update: 2020-10-01
Description:
Fits Cox model via stochastic gradient descent. This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using proximal stochastic gradient descent algorithm. For more details about the method, please see Aliasghar Tarkhan and Noah Simon (2020) .
How to cite:
Aliasghar Tarkhan (2020). bigSurvSGD: Big Survival Analysis Using Stochastic Gradient Descent. R package version 0.0.1, https://cran.r-project.org/web/packages/bigSurvSGD. Accessed 08 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited bigSurvSGD R package
View bigSurvSGD citation profile
Other R packages that bigSurvSGD depends, imports, suggests or enhances
Complete documentation for bigSurvSGD
Functions, R codes and Examples using the bigSurvSGD R package
Some associated functions: bigSurvSGD . lambdaMaxC . oneChunkC . oneObsPlugingC . sparseSurvData . survData . 
Some associated R codes: RcppExports.R . bigSurvSGD.R . data-sparseSurvData.R . data-survData.R .  Full bigSurvSGD package functions and examples
Downloads during the last 30 days
03/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/06Downloads for bigSurvSGD246810121416TrendBars

Today's Hot Picks in Authors and Packages

sybil  
Efficient Constrained Based Modelling
This Systems Biology Package Gelius-Dietrich et. al. 2012 doi10.11861752-0509-7-125 implements algor ...
Download / Learn more Package Citations See dependency  
dave  
Functions for "Data Analysis in Vegetation Ecology"
A collection of functions accompanying the book "Data Analysis in Vegetation Ecology". 3rd ed. CABI, ...
Download / Learn more Package Citations See dependency  
icr  
Compute Krippendorff's Alpha
Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and ...
Download / Learn more Package Citations See dependency  
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  
seasonalclumped  
Toolbox for Clumped Isotope Seasonality Reconstructions
Compiles a set of functions and dummy data that simplify reconstructions of seasonal temperature va ...
Download / Learn more Package Citations See dependency  
ssc  
Semi-Supervised Classification Methods
Provides a collection of self-labeled techniques for semi-supervised classification. In semi-superv ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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