vcov: vcov methods for Madlib regression objects

In PivotalR: A Fast, Easy-to-Use Tool for Manipulating Tables in Databases and a Wrapper of MADlib

Description

Functions to extract the variance-cocariance matrix for regression models fit in Madlib.

Usage

    ## S3 method for class 'lm.madlib.grps'
vcov(object, na.action = NULL, ...)
    ## S3 method for class 'lm.madlib'
vcov(object, na.action = NULL, ...)
    ## S3 method for class 'logregr.madlib.grps'
vcov(object, na.action = NULL, ...)
    ## S3 method for class 'logregr.madlib'
vcov(object, na.action = NULL, ...)

Arguments

object	The regression model object, of class lm.madlib, lm.madlib.grps, logregr.madlib, logregr.madlib.grps.
na.action	A function, default is NULL. Possible choice is na.omit,db.obj-method.
...	Other arguments, not used.

Value

For lm.madlib and logregr.madlib objects, this function returns the variance-covariance matrix of the main parameters.

For lm.madlib.grps and logregr.madlib.grps objects, which are a list of models for multiple groups of data, returns a list, each of which is the variance-cocariance matrix for the model of each group of data.

Author(s)

Author: Hong Ooi, Pivotal Inc.

Maintainer: Frank McQuillan, Pivotal Inc. [e-mail]

See Also

madlib.lm, madlib.glm for MADlib regression wrappers

Examples

## 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)

x <- as.db.data.frame(abalone, conn.id = cid, verbose = FALSE)
lk(x, 10)

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

vcov(fit)

vcov(fit[[1]])

db.disconnect(cid, verbose = FALSE)

## End(Not run)

PivotalR documentation built on March 13, 2021, 1:06 a.m.