Fit diverse models of mortality graduation, parametric or not, in order to isolate the hump that is often observed in the age-specific death rates during adolescence and early adulthood in human populations. Can handle either all-cause or cause-specific data. A description of the methods used can be found in Remund A., Camarda C. and Riffe T. (2018) Analyzing the Young Adult Mortality Hump in R with MortHump. MPIDR Technical Report TR-2018-3.
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Adrien Remund, Carlo G Camarda, Tim Riffe
Maintainer: Adrien Remund <[email protected]>
Remund A., Camarda C. and Riffe T. (2018) Analyzing the Young Adult Mortality Hump in R with MortHump. MPIDR Technical Report TR-2018-3.
Remund, A., Riffe, T., & Camarda, C. (2018). A cause-of-death decomposition of young adult excess mortality. Demography.
Camarda, C. G., Eilers, P. H. C., & Gampe, J. (2016). Sums of smooth exponentials to decompose complex series of counts. Statistical Modelling.
Remund, A. (2015). Jeunesses vulnerables? Mesures, composantes et causes de la surmortalite des jeunes adultes. (PhD), Universite de Geneve, Geneve. [Free access]
Camarda, C. G. (2008). Smoothing methods for the analysis of mortality development. (Doctorado en Ingenieria Matematica), Universidad Carlos III de Madrid, Madrid.
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