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>.

Version: 1.0
Suggests: testthat, knitr, rmarkdown, stats
Published: 2018-06-04
Author: Akshay Suresh, Siddhesh Acharekar, Hsiangwei Chao, Shiva Yogi Biradar
Maintainer: Akshay Suresh <suresh.aks at husky.neu.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: rcane results


Reference manual: rcane.pdf
Vignettes: Vignette Title
Package source: rcane_1.0.tar.gz
Windows binaries: r-devel: rcane_1.0.zip, r-release: rcane_1.0.zip, r-oldrel: rcane_1.0.zip
OS X binaries: r-release: rcane_1.0.tgz, r-oldrel: rcane_1.0.tgz


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