| Name : R-activityGCMM
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| Version : 1.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.12
| Date : 2024-06-14 12:06:24
|
| Group : Development/Libraries/Other
| Source RPM : R-activityGCMM-1.1.1-lp153.1.12.src.rpm
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| Size : 0.21 MB
| |
| Packager : (none)
| |
| Summary : Circular Mixed Effect Mixture Models of Animal Activity Patterns
|
Description :
Bayesian parametric generalized circular mixed effect mixture models
(GCMMs) for estimating animal activity patterns from camera trap data
and other nested data structures using \'JAGS\', including automatic
Bayesian k-cluster selection and random circular intercepts for nested
data. The GCMM function automatically selects the number of components
for the mixture model (supporting up to 4 mixture components) based on
a Bayesian linear finite normal mixture model and fits a Bayesian
parametric circular mixed effect mixture model with one or two random
effects as random circular intercepts with a a von Mises or wrapped
Cauchy distribution. Provides graphs of the combined mixture model or
separate mixture components. Functionality is provided to allow
quantitative comparisons between model parameters. See Campbell et al.
(in press) It\'s time to expand our analyses of animal activity;
Campbell et al. (in press) Temporal and microspatial niche
partitioning; Campbell et al. (in press) A novel approach to comparing
animal activity patterns. News, updates, and tutorials will be
available on www.atlasgoldenwolf.org/stats and
www.github.com/LizADCampbell .
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
