| Name : R-rts2
| |
| Version : 0.7.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-18 04:36:59
|
| Group : Development/Libraries/Other
| Source RPM : R-rts2-0.7.6-lp153.1.1.src.rpm
|
| Size : 12.85 MB
| |
| Packager : (none)
| |
| Summary : Real-Time Disease Surveillance
|
Description :
Supports modelling real-time case data to facilitate the real-time
surveillance of infectious diseases and other point phenomena. The
package provides automated computational grid generation over an area
of interest with methods to map covariates between geographies, model
fitting including spatially aggregated case counts, and predictions and
visualisation. Both Bayesian and maximum likelihood methods are
provided. Log-Gaussian Cox Processes are described by Diggle et al.
(2013) < doi:10.1214/13-STS441> and we provide both the low-rank
approximation for Gaussian processes described by Solin and Särkkä
(2020) < doi:10.1007/s11222-019-09886-w> and Riutort-Mayol et al (2023)
< doi:10.1007/s11222-022-10167-2> and the nearest neighbour Gaussian
process described by Datta et al (2016)
< doi:10.1080/01621459.2015.1044091>. \'cmdstanr\' can be downloaded at
< https://mc-stan.org/cmdstanr/>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
