summary.pdlm: Summary of PDL Models

In wjunger/ares: Environmental air pollution epidemiology: a library for time series analysis

Description

Output the summary of a distributed lag model

Usage

## S3 method for class 'pdlm'
summary(object, ...)

Arguments

object	a model of class pdlm created by pdlm
...	further options for print.summary.pdlm

Details

The function prints information about the model.

Value

Invisibly returns a list containing

call	function call
coef.table	a table containing coefficients, standard errors, t values and p-values
resid.stats	some statistics on the deviance residuals of the constrained model
deviance	the residual deviance of the constrained model
null.deviance	the null deviance of the constrained model
aic	Akaike Information Criterion of the constrained model
iter	number of Fisher scoring iterations of the constrained model
df.null	null degrees of freedom of the constrained model
df residual	residual degrees of freedom of the constrained model
na	number of observations lost due missing data

Author(s)

Washington Junger [e-mail] and Antonio Ponce de Leon [e-mail]

References

Schwartz, J. (2000) The distributed lag between air pollution and daily deaths. Epidemiology 11(3), 320–326.

See Also

pdlm

Examples

data(admrio)
setup(admrio,"date")
f <- resp5~s(time)+weekdays+s(tmpmax)+s(humid)
m <- fit_core(f)
dlm <- pdlm(m,"pm10",lags=5,degrees=2)
summary(dlm)

wjunger/ares documentation built on Dec. 23, 2021, 5:17 p.m.