seasonal {tsModel} | R Documentation |
Functions for conducting a reproducible seasonal analysis of air pollution and mortality in the United States.
coefSeasonal(results, pollutant, method = "factor2", Seasons = c("Winter", "Spring", "Summer", "Fall")) multiDFFit(dfVec, city, ...) poolCoef(b, cov = NULL, w = NULL, method = c("tlnise", "fixed"), extractors = NULL, ...) extractBetaCov(results, pollutant) LouisFormat(x, type = c("stderr", "confint"), digits = 2) gibbspool(b, v, scale = 1, maxiter = 2000, burn = 500, pScale = 1e-5) pooling(estimate, var)
results |
list of individual city-specific regression fits |
pollutant |
name of pollutant of interest |
method |
type of seasonal model, or method of pooling |
Seasons |
character vector of season names |
dfVec |
vector of degrees of freedom per year to use in the smooth function of time |
city |
name of a city in the NMMAPS database |
b |
a vector of N coefficients or an N x p matrix of coefficient vectors |
cov,v |
a vector of N variances or a p x p x N array of covariances matrices |
w |
second-stage covariates to include in the hierarchical model |
extractors |
a list of functions |
x |
a numeric matrix |
type |
type of output to produce |
digits |
number of digits of output to use |
scale |
prior standard deviation of the national average |
maxiter |
maximum number of iterations in the Gibbs sampler |
burn |
number of iterations to discard |
pScale |
scaling coefficient for the prior variance of the heterogeneity parameter |
estimate |
a vector of coefficients |
var |
a vector of coefficient variances |
... |
other arguments passed to fitCitySeason |
These functions are used to reproduce a seasonal analysis of air pollution and mortality in the United States (see the reference below).
Roger D. Peng rpeng@jhsph.edu
Peng RD, Dominic F (2008). Statistical Methods for Environmental Epidemiology in R: A Case Study in Air Pollution and Health, Springer.