marg_lik: Compute the Marginal likelihood of circular Bayesian models.
In keesmulder/circbayes: Bayesian Analysis of Circular Data
Description
Usage
Arguments
Value
Examples
Description
For most models in circbayes, this uses bridge_sampler.
Usage
1
Arguments
x
Fit model object.
...
Further arguments.
Value
Numeric; the log marginal likelihood.
Examples
1
2
3
4
5
6
7
8
9
th <- rvm(40, 5, 8)
vm_mod <- vm_posterior(th)
pn_mod <- pn_posterior(th)
bat_mod <- bat_posterior(th)
mlvm <- marg_lik(vm_mod)
mlpn <- marg_lik(pn_mod)
mlbt <- marg_lik(bat_mod)
bht_compare(mlvm, mlpn, mlbt)
keesmulder/circbayes documentation built on May 30, 2019, 2:04 p.m.
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Description Usage Arguments Value Examples
Description
For most models in circbayes, this uses bridge_sampler.
Usage
1 |
Arguments
x |
Fit model object. |
... |
Further arguments. |
Value
Numeric; the log marginal likelihood.
Examples
1 2 3 4 5 6 7 8 9 | th <- rvm(40, 5, 8)
vm_mod <- vm_posterior(th)
pn_mod <- pn_posterior(th)
bat_mod <- bat_posterior(th)
mlvm <- marg_lik(vm_mod)
mlpn <- marg_lik(pn_mod)
mlbt <- marg_lik(bat_mod)
bht_compare(mlvm, mlpn, mlbt)
|
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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