aic: AIC methods for Madlib regression objects

Description Usage Arguments Details Value Author(s) See Also Examples

Description

Functions to extract the AIC and log-likelihood for regression models fit in Madlib.

Usage

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    ## S3 method for class 'lm.madlib'
extractAIC(fit, scale=0, k=2, ...)
    ## S3 method for class 'lm.madlib.grps'
extractAIC(fit, scale=0, k=2, ...)
    ## S3 method for class 'lm.madlib'
logLik(object, ...)
    ## S3 method for class 'lm.madlib.grps'
logLik(object, ...)
    ## S3 method for class 'lm.madlib.grps'
AIC(object, ..., k=2)

    ## S3 method for class 'logregr.madlib'
extractAIC(fit, scale=0, k=2, ...)
    ## S3 method for class 'logregr.madlib.grps'
extractAIC(fit, scale=0, k=2, ...)
    ## S3 method for class 'logregr.madlib'
logLik(object, ...)
    ## S3 method for class 'logregr.madlib.grps'
logLik(object, ...)
    ## S3 method for class 'logregr.madlib.grps'
AIC(object, ..., k=2)

    ## S3 method for class 'glm.madlib'
extractAIC(fit, scale=0, k=2, ...)

    ## S3 method for class 'glm.madlib.grps'
extractAIC(fit, scale=0, k=2, ...)

    ## S3 method for class 'glm.madlib'
logLik(object, ...)

    ## S3 method for class 'glm.madlib.grps'
logLik(object, ...)

    ## S3 method for class 'glm.madlib.grps'
AIC(object, ..., k=2)

Arguments

fit, object

The regression model object, of class lm.madlib or logregr.madlib, fit using madlib.lm or madlib.glm respectively.

scale

The scale parameter for the model. Currently unused.

k

Numeric, specifying the equivalent degrees of freedom part in the AIC formula.

...

Other arguments, not used.

Details

See the documentation for AIC and extractAIC.

Value

For ungrouped regressions, logLik returns an object of class logLik, and extractAIC returns a length-2 numeric vector giving the edf and AIC.

For grouped regressions, logLik and extractAIC return a list giving the output of these methods for each of the component models. Similarly, AIC for a grouped regression returns a vector of the AICs for each of the component models.

Author(s)

Author: Hong Ooi, Pivotal Inc.

Maintainer: Frank McQuillan, Pivotal Inc. [email protected]

See Also

AIC, extractAIC, logLik.

Examples

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 ## Not run: 


## set up the database connection
## Assume that .port is port number and .dbname is the database name
cid <- db.connect(port = .port, dbname = .dbname, verbose = FALSE)

## create a table
delete("abalone", conn.id = cid)
x <- as.db.data.frame(abalone, "abalone", conn.id = cid, verbose = FALSE)

fit <- madlib.glm(rings < 10 ~ . - id | sex, data = x, family =
"binomial")

AIC(fit)

AIC(fit[[1]])

db.disconnect(cid, verbose = FALSE)

## End(Not run)

PivotalR documentation built on May 30, 2017, 8:18 a.m.