sgdGMF (version 1.0)

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

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.

Arguments

object

an object of class sgdgmf

...

further arguments passed to or from other methods

type

the type of coefficients which should be returned

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