glmEstimation {SentimentAnalysis}

Estimation via generalized least squares

Description

Function estimates coefficients based on generalized least squares.

Usage

glmEstimation(x, response, control = list(family = "gaussian"), ...)

Arguments

x

An object of type DocumentTermMatrix.

response

Response variable including the given gold standard.

control

(optional) A list of parameters defining the model as follows:

• "family"Distribution for response variable. Default is family="gaussian". For non-negative counts, use family="poisson". For binary variables family="binomial". See glm for further details.

...

Additional parameters passed to function for glm.

Value

Result is a list with coefficients, coefficient names and the model intercept.

Result is a list with coefficients, coefficient names and the model intercept.