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Analyzing Temperature Effects on Mortality Within the R Environment: The Constrained Segmented Distributed Lag Parameterization

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  • Muggeo, Vito M. R.

Abstract

Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data. The functions fit a particular log linear model which allows to capture the two main features of mortality- temperature relationships: nonlinearity and distributed lag effect. Penalized splines and segmented regression constitute the core of the modelling framework. We briefly review the model and illustrate the functions throughout a simulated dataset.

Suggested Citation

  • Muggeo, Vito M. R., 2010. "Analyzing Temperature Effects on Mortality Within the R Environment: The Constrained Segmented Distributed Lag Parameterization," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i12).
    • Handle: RePEc:jss:jstsof:v:032:i12
    DOI: http://hdl.handle.net/10.18637/jss.v032.i12
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    Cited by:

    1. Maolin Cheng & Bin Liu, 2019. "Analysis on the Influence of China’s Energy Consumption on Economic Growth," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    2. W. J. W. Botzen & M. L. Martinius & P. Bröde & M. A. Folkerts & P. Ignjacevic & F. Estrada & C. N. Harmsen & H. A. M. Daanen, 2020. "Economic valuation of climate change–induced mortality: age dependent cold and heat mortality in the Netherlands," Climatic Change, Springer, vol. 162(2), pages 545-562, September.

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