Package: CvmortalityMult 1.0.9

David Atance

CvmortalityMult: Cross-Validation for Multi-Population Mortality Models

Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models. References. Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>. Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>. Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>. Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>. Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>. Santolino, M. (2023) <doi:10.3390/risks11100170>.

Authors:David Atance [aut, cre], Ana Debón [aut]

CvmortalityMult_1.0.9.tar.gz
CvmortalityMult_1.0.9.tar.gz(r-4.5-noble)CvmortalityMult_1.0.9.tar.gz(r-4.4-noble)
CvmortalityMult_1.0.9.tgz(r-4.4-emscripten)CvmortalityMult_1.0.9.tgz(r-4.3-emscripten)
CvmortalityMult.pdf |CvmortalityMult.html
CvmortalityMult/json (API)

# Install 'CvmortalityMult' in R:
install.packages('CvmortalityMult', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/davidatance/cvmortalitymult/issues

Datasets:

On CRAN:

Conda:

2.60 score 3 scripts 353 downloads 5 exports 123 dependencies

Last updated 27 days agofrom:2518ffc7cb. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025

Exports:fitLCmultiMeasureAccuracymultipopulation_cvresidSVD2SpainMap

Dependencies:abindbase64encbslibcachemclassclassIntclicolorspacecols4allcrosstalkcurldata.tableDBIdichromatdigestdotCall64e1071evaluatefanplotfansifarverfastmapfieldsfontawesomeforecastfracdifffsgenericsgeojsonsfgeometriesggplot2gluegnmgtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonifyjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafemleafglleaflegendleafletleaflet.providersleafsynclifecyclelmtestloggerlwgeommagrittrmapsMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplyrpngpromisesproxyquadprogquantmodqvcalcR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppArmadillorelimpreshape2rlangrmarkdownrootSolves2sassscalesservrsfsfheadersspspacesXYZspamstarsStMoMostringdiststringistringrterratibbletimeDatetinytextmaptmaptoolstseriesTTRunitsurcautf8vctrsviridisLitewithrwkxfunXMLxtsyamlzoo