| Name : R-BayesMortalityPlus
| |
| Version : 0.2.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 11:57:07
|
| Group : Development/Libraries/Other
| Source RPM : R-BayesMortalityPlus-0.2.4-lp153.1.2.src.rpm
|
| Size : 0.67 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Mortality Modelling
|
Description :
Fit Bayesian graduation mortality using the Heligman-Pollard model, as
seen in Heligman, L., & Pollard, J. H. (1980)
< doi:10.1017/S0020268100040257> and Dellaportas, Petros, et al. (2001)
< doi:10.1111/1467-985X.00202>, and dynamic linear model (Campagnoli,
P., Petris, G., and Petrone, S. (2009) < doi:10.1007/b135794_2>). While
Heligman-Pollard has parameters with a straightforward interpretation
yielding some rich analysis, the dynamic linear model provides a very
flexible adjustment of the mortality curves by controlling the discount
factor value. Closing methods for both Heligman-Pollard and dynamic
linear model were also implemented according to Dodd, Erengul, et al.
(2018) < https://www.jstor.org/stable/48547511>. The Bayesian Lee-Carter
model is also implemented to fit historical mortality tables time
series to predict the mortality in the following years and to do
improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992)
< doi:10.1080/01621459.1992.10475265> and Pedroza, C. (2006)
< doi:10.1093/biostatistics/kxj024>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
