The NMMAPSdata package for R contains daily mortality, air pollution, and weather data that were originally assembled for the National Morbidity, Mortality, and Air Pollution Study (NMMAPS). NMMAPS was a large multi-city time series study of the short-term effects of ambient air pollution on daily mortality and morbidity in the United States. The analyses of the original 90 city, 8 year database can be found in Samet et al. (2000a), Samet et al. (2000b), Dominici et al. (2003), and Daniels et al. (2004). The database has since been updated to contain data on 108 U.S. cities for 14 years (1987–2000). While the original study examined morbidity outcomes such as hospital admissions, the NMMAPSdata package does not include those data. The NMMAPSdata package can be downloaded from http://www.ihapss.jhsph.edu/data/NMMAPS/R/. The package does not currently reside on CRAN, although it passes all R CMD check quality control tests. A source package as well as a Windows binary package are available for download. All comments that follow pertain to version 0.3-3 of the package. In this article we provide a very brief introduction to the data and to the R functions provided in the NMMAPSdata package. As an example of how one may use the package, we present a a small multicity time series analysis of daily non-accidental mortality and PM10. A more detailed description of the NMMAPSdata package and additional examples of time series models for air pollution and mortality are available in a technical report (Peng et al., 2004)
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References in zbMATH (referenced in 3 articles )
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- Burr, Wesley S.; Shin, Hwashin H.: Discrete prolate spheroidal sequences as filters in generalized additive models (2015)
- Pya, Natalya; Wood, Simon N.: Shape constrained additive models (2015)
- Zhou, Jingwen; Chang, Howard H.; Fuentes, Montserrat: Estimating the health impact of climate change with calibrated climate model output (2012)