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.

Muggeo, V. (2010). Analyzing temperature effects on mortality within the R environment: the constrained segmented distributed lag parameterization. JOURNAL OF STATISTICAL SOFTWARE, 32(12) [10.18637/jss.v032.i12].

Analyzing temperature effects on mortality within the R environment: the constrained segmented distributed lag parameterization

MUGGEO, Vito Michele Rosario
2010-01-01

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.
2010
Settore SECS-S/01 - Statistica
Muggeo, V. (2010). Analyzing temperature effects on mortality within the R environment: the constrained segmented distributed lag parameterization. JOURNAL OF STATISTICAL SOFTWARE, 32(12) [10.18637/jss.v032.i12].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/45214
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