| Name : R-Q2q
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:03:16
|
| Group : Development/Libraries/Other
| Source RPM : R-Q2q-0.1.0-lp153.2.13.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Interpolating Age-Specific Mortality Rates at All Ages
|
Description :
Mortality Rates are usually published following an abridged
description, i.e., by age groups 0, [1, 5[, [5, 10[, [10, 15[ and so
on. For some applications, a detailed (single) ages description is
required. Despite the huge number of the proposed methods in the
literature, there is a limited number of methods ensuring a high
performance at lower and higher ages in the same time. For example, the
6-terms \'Lagrange\' interpolation function is well adapted to mortality
interpolation at lower ages (with unequal intervals) but is not adapted
to higher ages. On the other hand, the \'Karup-King\' method allows a
good performance at higher ages but not adapted to lower ages.
Interested readers can refer to the book of Shryock, Siegel and
Associates (1993) for a detailed overview of the two cited methods.The
package Q2q allows combining both the two methods to allow
interpolating mortality rates at all ages. First, it starts by
implementing each method separately, then the resulted curves are
joined based on a 5-age averaged error between the two curves.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
