| Name : R-ctsem
| |
| Version : 3.10.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.1.1
| Date : 2024-09-17 23:41:36
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| Group : Development/Libraries/Other
| Source RPM : R-ctsem-3.10.1-lp155.1.1.src.rpm
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| Size : 11.34 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Continuous Time Structural Equation Modelling
|
Description :
Hierarchical continuous (and discrete) time state space modelling, for
linear and nonlinear systems measured by continuous variables, with
limited support for binary data. The subject specific dynamic system is
modelled as a stochastic differential equation (SDE) or difference
equation, measurement models are typically multivariate normal factor
models. Linear mixed effects SDE\'s estimated via maximum likelihood and
optimization are the default. Nonlinearities, (state dependent
parameters) and random effects on all parameters are possible, using
either max likelihood / max a posteriori optimization (with optional
importance sampling) or Stan\'s Hamiltonian Monte Carlo sampling. See
< https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf>
for details. Priors may be used. For the conceptual overview of the
hierarchical Bayesian linear SDE approach, see
< https://www.researchgate.net/publication/324093594_Hierarchical_Bayesian_Continuous_Time_Dynamic_Modeling>.
Exogenous inputs may also be included, for an overview of such
possibilities see
< https://www.researchgate.net/publication/328221807_Understanding_the_Time_Course_of_Interventions_with_Continuous_Time_Dynamic_Models>
. Stan based functions are not available on 32 bit Windows systems at
present. < https://cdriver.netlify.app/> contains some tutorial blog
posts.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
