| Name : R-spsurvey
| |
| Version : 5.5.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.4.1
| Date : 2024-06-20 18:09:37
|
| Group : Development/Libraries/Other
| Source RPM : R-spsurvey-5.5.1-lp154.4.1.src.rpm
|
| Size : 6.94 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Spatial Sampling Design and Analysis
|
Description :
A design-based approach to statistical inference, with a focus on
spatial data. Spatially balanced samples are selected using the
Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS
algorithm can be applied to finite resources (point geometries) and
infinite resources (linear / linestring and areal / polygon geometries)
and flexibly accommodates a diverse set of sampling design features,
including stratification, unequal inclusion probabilities, proportional
(to size) inclusion probabilities, legacy (historical) sites, a minimum
distance between sites, and two options for replacement sites (reverse
hierarchical order and nearest neighbor). Data are analyzed using a
wide range of analysis functions that perform categorical variable
analysis, continuous variable analysis, attributable risk analysis,
risk difference analysis, relative risk analysis, change analysis, and
trend analysis. spsurvey can also be used to summarize objects,
visualize objects, select samples that are not spatially balanced,
select panel samples, measure the amount of spatial balance in a
sample, adjust design weights, and more. For additional details, see
Dumelle et al. (2023) < doi:10.18637/jss.v105.i03>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
