sureshaks/rcane: Different Numeric Optimizations to Estimate Parameter Coefficients

There are different numeric optimizations which are used in order to estimate coefficients in models such as linear regression and neural networks. This package covers parameter estimation in linear regression using different methods such as batch gradient descent, stochastic gradient descent, minibatch gradient descent and coordinate descent. Kiwiel, Krzysztof C. (2001) <doi:10.1007/PL00011414> Yu. Nesterov (2004) <ISBN:1-4020-7553-7> Ferguson, Thomas S. (1982) <doi:10.1080/01621459.1982.10477894> Zeiler, Matthew D. (2012) <arXiv:1212.5701> Wright, Stephen J. (2015) <arXiv:1502.04759>

Getting started

Package details

AuthorAkshay Suresh, Siddhesh Acharekar, Hsiangwei Chao, Shiva Yogi Biradar
MaintainerAkshay Suresh<[email protected]>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sureshaks/rcane")
sureshaks/rcane documentation built on May 29, 2019, 9:51 a.m.