# Learning Optimization and Machine Learning for Statistics

## Documentation for package ‘gettingtothebottom’ version 3.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

gettingtothebottom-package | gettingtothebottom
baltimoreyouth | Baltimore Youth Indicators - 2010 and 2011
diff_norm | MM Algorithm - Normed Difference
engel | Engel's Law - Engel Food Expenditures Data from the quantreg package for R
example.alpha | Gradient Descent Algorithm - Plots Depicting Gradient Descent Results in Example 1 Using Different Choices for the Step Size
example.quadratic.approx | Gradient Descent Algorithm - Plots Depicting How Different Choices of Alpha Result in Differing Quadratic Approximations
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 solution paths
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 IMDB.com
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 Moderately Active Man (weighing 154 pounds)" from George Stigler's 1945 paper on "The Cost of Subsistence"
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 against the truth for minimum error solution
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 based on an initial guess for lambda
stigler | The Diet Problem: "Nutritive Values of Common Foods per Dollar of Expenditure, August 15, 1944", from George Stigler's 1945 paper on "The Cost of Subsistence"
testmatrix | MM Algorithm - Generate Test Matrix