MortalitySmooth

MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines. The MortalitySmooth package provides a framework for smoothing count data in both one- and two-dimensional settings. Although general in its purposes, the package is specifically tailored to demographers, actuaries, epidemiologists, and geneticists who may be interested in using a practical tool for smoothing mortality data over ages and/or years. The total number of deaths over a specified age- and year-interval is assumed to be Poisson-distributed, and P-splines and generalized linear array models are employed as a suitable regression methodology. Extra-Poisson variation can also be accommodated.

This software is also peer reviewed by journal JSS.


References in zbMATH (referenced in 12 articles , 1 standard article )

Showing results 1 to 12 of 12.
Sorted by year (citations)

  1. Basellini, Ugofilippo; Kjærgaard, Søren; Camarda, Carlo Giovanni: An age-at-death distribution approach to forecast cohort mortality (2020)
  2. Andrés Villegas; Vladimir Kaishev; Pietro Millossovich: StMoMo: An R Package for Stochastic Mortality Modeling (2018) not zbMATH
  3. Bergeron-Boucher, Marie-Pier; Simonacci, Violetta; Oeppen, Jim; Gallo, Michele: Coherent modeling and forecasting of mortality patterns for subpopulations using multiway analysis of compositions: an application to Canadian provinces and territories (2018)
  4. Ludkovski, Mike; Risk, Jimmy; Zail, Howard: Gaussian process models for mortality rates and improvement factors (2018)
  5. Carfora, M. F.; Cutillo, L.; Orlando, A.: A quantitative comparison of stochastic mortality models on Italian population data (2017)
  6. Debón, A.; Chaves, L.; Haberman, S.; Villa, F.: Characterization of between-group inequality of longevity in European union countries (2017)
  7. Silva, Eliud; Guerrero, Víctor M.: Penalized least squares smoothing of two-dimensional mortality tables with imposed smoothness (2017)
  8. Currie, Iain D.: On Fitting generalized linear and non-linear models of mortality (2016)
  9. Hana Ševčíková and Adrian Raftery: bayesPop: Probabilistic Population Projections (2016) not zbMATH
  10. Eilers, Paul H. C.; Marx, Brian D.; Durbán, Maria: Twenty years of P-splines (invited article) (2015)
  11. Mazza, Angelo; Punzo, Antonio: Bivariate discrete beta kernel graduation of mortality data (2015)
  12. Carlo Camarda: MortalitySmooth: An R Package for Smoothing Poisson Counts with P-Splines (2012) not zbMATH