ridgeEstimation {SentimentAnalysis} | R Documentation |
Ridge estimation
Description
Function estimates coefficients based on ridge regularization.
Usage
ridgeEstimation(
x,
response,
control = list(s = "lambda.min", family = "gaussian", grouped = FALSE),
...
)
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:
"s"Value of the parameter lambda at which the ridge is evaluated. Default
is s="lambda.1se" which takes the calculated minimum value for \lambda
and then subtracts one standard error in order to avoid overfitting. This often
results in a better performance than using the minimum value itself given by
lambda="lambda.min" .
"family"Distribution for response variable. Default is family="gaussian" .
For non-negative counts, use family="poisson" . For binary variables
family="binomial" . See glmnet for further details.
"grouped" Determines whether grouped function is used (with default FALSE ).
|
... |
Additional parameters passed to function for glmnet .
|
Value
Result is a list with coefficients, coefficient names and the model intercept.
[Package
SentimentAnalysis version 1.3-5
Index]