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) Yu Nesterov (2004) Ferguson, Thomas S (1982) Zeiler, Matthew D (2012) Wright, Stephen J (2015) .


Reference manual

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1.0 by Akshay Suresh, a year ago

Browse source code at https://github.com/cran/rcane

Authors: Akshay Suresh , Siddhesh Acharekar , Hsiangwei Chao , Shiva Yogi Biradar

Documentation:   PDF Manual  

MIT + file LICENSE license

Suggests testthat, knitr, rmarkdown, stats

See at CRAN