coefficients.sgdgmf: Extract the coefficient of a GMF model

In sgdGMF: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent

Extract the coefficient of a GMF model

Description

Return the estimated coefficients of a GMF model, i.e., the row- and column-specific regression effects, the latent scores and loadings.

Usage

## S3 method for class 'sgdgmf'
coefficients(
  object,
  ...,
  type = c("all", "colreg", "rowreg", "scores", "loadings")
)

## S3 method for class 'sgdgmf'
coef(object, ..., type = c("all", "colreg", "rowreg", "scores", "loadings"))

Arguments

object	an object of class sgdgmf
...	further arguments passed to or from other methods
type	the type of coefficients which should be returned

Value

If type="all", a list of coefficients containing the fields B, A, U and V. Otherwise, a matrix of coefficients, corresponding to the selected type.

Examples

# Load the sgdGMF package
library(sgdGMF)

# Generate data from a Poisson model
data = sim.gmf.data(n = 100, m = 20, ncomp = 5, family = poisson())

# Fit a GMF model with 3 latent factors
gmf = sgdgmf.fit(data$Y, ncomp = 3, family = poisson())

# Get the estimated coefficients of a GMF model
str(coefficients(gmf)) # returns all the coefficients
str(coefficients(gmf, type = "scores")) # returns only the scores, say U
str(coefficients(gmf, type = "loadings")) # returns only the loadings, say V

sgdGMF documentation built on April 3, 2025, 7:37 p.m.