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).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.