Lwm1_stan: Weighting the log-likelihood from Stan
In hunansona/ed4bhm: Empirical Determinacy for Bayesian Hierarchical Models
Lwm1_stan R Documentation
Weighting the log-likelihood from Stan
Description
Computes probability weights by fast computation (Hunanyan et al., 2021) in Stan.
Usage
Lwm1_stan(stan_ll, ww = 1)
Arguments
stan_ll
the sample of the log-likelihood calculated from a stan fit
ww
the weighting factor
Author(s)
Malgorzata Roos, Georgios Kazantzidis, Sona Hunanyan
References
Hunanyan, S., Roos, M., Plummer, M., Rue, H. (2021). Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA. Bayesian Analaysis (under review). https://arxiv.org/abs/2109.11870.
hunansona/ed4bhm documentation built on June 15, 2022, 6:42 p.m.
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| Lwm1_stan | R Documentation |
Weighting the log-likelihood from Stan
Description
Computes probability weights by fast computation (Hunanyan et al., 2021) in Stan.
Usage
Lwm1_stan(stan_ll, ww = 1)
Arguments
stan_ll |
the sample of the log-likelihood calculated from a stan fit |
ww |
the weighting factor |
Author(s)
Malgorzata Roos, Georgios Kazantzidis, Sona Hunanyan
References
Hunanyan, S., Roos, M., Plummer, M., Rue, H. (2021). Quantification of empirical determinacy: the impact of likelihood weighting on posterior location and spread in Bayesian meta-analysis estimated with JAGS and INLA. Bayesian Analaysis (under review). https://arxiv.org/abs/2109.11870.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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