| Name : R-BMRMM
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| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 11:39:53
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| Group : Development/Libraries/Other
| Source RPM : R-BMRMM-1.0.1-lp153.2.2.src.rpm
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| Size : 0.23 MB
| |
| Packager : (none)
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| Summary : An Implementation of the Bayesian Markov (Renewal) Mixed Models
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Description :
The Bayesian Markov renewal mixed models take sequentially observed
categorical data with continuous duration times, being either state
duration or inter-state duration. These models comprehensively analyze
the stochastic dynamics of both state transitions and duration times
under the influence of multiple exogenous factors and random individual
effect. The default setting flexibly models the transition
probabilities using Dirichlet mixtures and the duration times using
gamma mixtures. It also provides the flexibility of modeling the
categorical sequences using Bayesian Markov mixed models alone, either
ignoring the duration times altogether or dividing duration time into
multiples of an additional category in the sequence by a user-specific
unit. The package allows extensive inference of the state transition
probabilities and the duration times as well as relevant plots and
graphs. It also includes a synthetic data set to demonstrate the
desired format of input data set and the utility of various functions.
Methods for Bayesian Markov renewal mixed models are as described in:
Abhra Sarkar et al., (2018) < doi:10.1080/01621459.2018.1423986> and
Yutong Wu et al., (2022) < doi:10.1093/biostatistics/kxac050>.
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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 |
