API for gettingtothebottom
Learning Optimization and Machine Learning for Statistics

Global 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

gettingtothebottom documentation built on May 29, 2017, 8:28 p.m.

Note that we can't provide technical support on individual packages. You should contact the package authors for that.