gettingtothebottom: Learning Optimization and Machine Learning for Statistics
Version 3.2

Getting to the Bottom accompanies the "Getting to the Bottom" optimization methods series at Statisticsviews.com. It contains data and code to reproduce the examples in the articles.

AuthorJocelyn T. Chi <jocelynchi@alum.berkeley.edu>
Date of publication2014-12-05 01:37:22
MaintainerJocelyn T. Chi <jocelynchi@alum.berkeley.edu>
LicenseMIT + file LICENSE
Version3.2
URL http://jocelynchi.com/gettingtothebottom
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("gettingtothebottom")

Popular man pages

diff_norm: MM Algorithm - Normed Difference
engel: Engel's Law - Engel Food Expenditures Data from the quantreg...
example.quadratic.approx: Gradient Descent Algorithm - Plots Depicting How Different...
makeLambdaseq: MM Algorithm - Function for making sequence of lambdas for...
moviebudgets: Movie ratings and budget database derived from data from...
plot_loss: Gradient Descent Algorithm - Plotting the Loss Function
softhreshold: MM Algorithm - Softhreshold Function
See all...

All man pages Function index File listing

Man pages

baltimoreyouth: Baltimore Youth Indicators - 2010 and 2011
diff_norm: MM Algorithm - Normed Difference
engel: Engel's Law - Engel Food Expenditures Data from the quantreg...
example.alpha: Gradient Descent Algorithm - Plots Depicting Gradient Descent...
example.quadratic.approx: Gradient Descent Algorithm - Plots Depicting How Different...
gdescent: Gradient Descent Algorithm
generate_nnm: Generate random nonnegative mixture components
gettingtothebottom: gettingtothebottom
init.lambda: MM Algorithm - Initial lambda
makeLambdaseq: MM Algorithm - Function for making sequence of lambdas for...
makeOmega: MM Algorithm - Generate Omega
makeY: MM Algorithm - Make Y
makeZ: MM Algorithm - Make Z
matrixcomplete: MM Algorithm - Matrix Completion
moviebudgets: Movie ratings and budget database derived from data from...
movieratings: Movie ratings database derived from data from IMDB.com
nnls_mm: Nonnegative Least Squares via MM
nutrition: The Diet Problem: "Daily Allowances of Nutrients for a...
plot_gradient: Gradient Descent Algorithm - Plotting the Gradient Function
plot_iterates: Gradient Descent Algorithm - Plotting the Iterates
plot_loss: Gradient Descent Algorithm - Plotting the Loss Function
plot_nnm: MM Algorithm - Plot NNM
plot_nnm_coef: MM Algorithm - Plotting the NNMLS regression coefficients
plot_nnm_obj: MM Algorithm - Plot NNM Objective
plot_nnm_reconstruction: MM Algorithm - Plotting the Reconstruction
plot_nnm_truth: MM Algorithm - Plotting the True Signal
plot_softhreshold: MM Algorithm - Plot the Softhreshold Function
plot_solpaths_error: MM Algorithm - Function for plotting the imputed values...
plot_solutionpaths: MM Algorithm - Plot results of solutionpaths function
plot_spect: MM Algorithm - Plotting the Spectroscopic Signal
softhreshold: MM Algorithm - Softhreshold Function
solutionpaths: MM Algorithm - Find the best fit lambda for a given problem...
stigler: The Diet Problem: "Nutritive Values of Common Foods per...
testmatrix: MM Algorithm - Generate Test Matrix

Functions

baltimoreyouth Man page
diff_norm Man page Source code
engel Man page
example.alpha Man page Source code
example.quadratic.approx Man page Source code
gdescent Man page Source code
generate_nnm Man page Source code
gettingtothebottom Man page
gettingtothebottom-package Man page
init.lambda Man page Source code
makeLambdaseq Man page Source code
makeOmega Man page Source code
makeY Man page Source code
makeZ Man page Source code
matrixcomplete Man page Source code
moviebudgets Man page
movieratings Man page
nnls_mm Man page Source code
nutrition Man page
plot_gradient Man page Source code
plot_iterates Man page Source code
plot_loss Man page Source code
plot_nnm Man page Source code
plot_nnm_coef Man page Source code
plot_nnm_obj Man page Source code
plot_nnm_reconstruction Man page Source code
plot_nnm_truth Man page Source code
plot_softhreshold Man page Source code
plot_solpaths_error Man page Source code
plot_solutionpaths Man page Source code
plot_spect Man page Source code
softhreshold Man page Source code
solutionpaths Man page Source code
stigler Man page
testmatrix Man page Source code

Files

NAMESPACE
NEWS
data
data/engel.RData
data/baltimoreyouth.RData
data/dietproblem.RData
data/movieratings.RData
data/moviebudgets.RData
data/datalist
R
R/gradientdescent.R
R/mmalgorithm.R
R/dataset-descriptions.R
R/nonnegativeleastsquares.R
MD5
README
DESCRIPTION
man
man/baltimoreyouth.Rd
man/plot_solutionpaths.Rd
man/plot_nnm.Rd
man/matrixcomplete.Rd
man/makeLambdaseq.Rd
man/plot_nnm_truth.Rd
man/softhreshold.Rd
man/gdescent.Rd
man/makeY.Rd
man/makeZ.Rd
man/plot_gradient.Rd
man/plot_iterates.Rd
man/generate_nnm.Rd
man/moviebudgets.Rd
man/testmatrix.Rd
man/makeOmega.Rd
man/example.quadratic.approx.Rd
man/nnls_mm.Rd
man/plot_softhreshold.Rd
man/stigler.Rd
man/example.alpha.Rd
man/plot_nnm_obj.Rd
man/plot_nnm_reconstruction.Rd
man/movieratings.Rd
man/init.lambda.Rd
man/plot_nnm_coef.Rd
man/engel.Rd
man/plot_solpaths_error.Rd
man/plot_loss.Rd
man/solutionpaths.Rd
man/plot_spect.Rd
man/nutrition.Rd
man/gettingtothebottom.Rd
man/diff_norm.Rd
LICENSE
gettingtothebottom documentation built on May 19, 2017, 6:45 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.