Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent

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Documentation for package ‘sgdGMF’ version 1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

AIC.initgmf	Compute deviance, AIC and BIC of an initialized GMF model
AIC.sgdgmf	Compute deviance, AIC and BIC of a GMF model
BIC.initgmf	Compute deviance, AIC and BIC of an initialized GMF model
BIC.sgdgmf	Compute deviance, AIC and BIC of a GMF model
biplot.initgmf	Biplot of an initialized GMF model
biplot.sgdgmf	Biplot of a GMF model
coef.initgmf	Extract the coefficient of an initialized GMF model
coef.sgdgmf	Extract the coefficient of a GMF model
coefficients.initgmf	Extract the coefficient of an initialized GMF model
coefficients.sgdgmf	Extract the coefficient of a GMF model
deviance.initgmf	Compute deviance, AIC and BIC of an initialized GMF model
deviance.sgdgmf	Compute deviance, AIC and BIC of a GMF model
fitted.initgmf	Extract the fitted values of an initialized GMF model
fitted.sgdgmf	Extract the fitted values of a GMF models
image.initgmf	Heatmap of an initialized GMF model
image.sgdgmf	Heatmap of a GMF model
plot.initgmf	Plot diagnostics for an initialized GMF model
plot.sgdgmf	Plot diagnostics for a GMF model
predict.sgdgmf	Predict method for GMF models
print.initgmf	Print the fundamental characteristics of an initialized GMF
print.sgdgmf	Print the fundamental characteristics of a GMF
refit.sgdgmf	Refine the final estimate of a GMF model
resid.initgmf	Extract the residuals of an initialized GMF model
resid.sgdgmf	Extract the residuals of a GMF model
residuals.initgmf	Extract the residuals of an initialized GMF model
residuals.sgdgmf	Extract the residuals of a GMF model
screeplot.initgmf	Screeplot for the residuals of an initialized GMF model
screeplot.sgdgmf	Screeplot for the residuals of a GMF model
set.control.airwls	Check and set the control parameters for the AIRWLS algorithm
set.control.alg	Check and set the control parameters for the select optimization algorithm
set.control.block.sgd	Check and set the control parameters for the blockwise-SGD algorithm
set.control.coord.sgd	Check and set the control parameters for the coordinate-SGD algorithm
set.control.cv	Check and set the cross-validation parameters
set.control.init	Check and set the initialization parameters for a GMF model
set.control.newton	Check and set the control parameters for the Newton algorithm
sgdgmf.cv	Model selection via cross-validation for generalized matrix factorization models
sgdgmf.fit	Factorize a matrix of non-Gaussian observations using GMF
sgdgmf.rank	Rank selection via eigenvalue-gap methods
sim.gmf.data	Simulate non-Gaussian data from a GMF model
simulate	Simulate new data
simulate.sgdgmf	Simulate method for GMF models