pollution


Data on the relation between weather, socioeconomic, and air pollution
variables and mortality rates in 60 Standard Metropolitan Statistical Areas
(SMSAs) of the USA, for the years 1959-1961.


datasets

In a linear regression setting, priors can be assigned to the regression function using a vector space framework, and the posterior estimate of the regression function obtained. I-priors are a class of such priors based on the principle of maximum entropy. While the main interest of I-prior modelling is prediction, inference is also possible, e.g. via log-likelihood ratio tests. This package supports both formula and non-formula based input. Estimation is mainly done via an EM algorithm, but there is flexibility in using any R optimiser to maximise the log-likelihood computed by the kernel loader function.

Haziq Jamil

iprior

Linear Regression using I-Priors

pollution function

A data frame of 16 observations on 16 variables.
<dl> </dl>

pollution: Air pollution and mortality

Description

Usage

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Details

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Examples