do.call.emjmcmc: A help function used by parall.gmj to run parallel chains of...
In aliaksah/EMJMCMC2016: EMJMCMC
View source: R/the_mode_jumping_package5.r
View source: R/the_mode_jumping_package4.r
do.call.emjmcmc R Documentation
A help function used by parall.gmj to run parallel chains of (R)(G)MJMCMC algorithms
Usage
do.call.emjmcmc(vect)
Arguments
vect
a vector of parameters of runemjmcmc as well as several additional fields that must come after runemjmcmc parameters such as: vect$simlen - the number of parameters of runemjmcmc in vect, vect$cpu - the cpu id for to set the unique seed, vect$NM - the number of unique best models from runemjmcmc to base the output report upon
Value
a list of
post.populi
the total mass (sum of the marginal likelihoods times the priors of the visited models) from the addressed run of runemjmcmc
p.post
posterior probabilities of the covariates approximated by the addressed run of runemjmcmc
cterm
the best value of marginal likelihood times the prior from the addressed run of runemjmcmc
fparam
the final set of covariates returned by the addressed run of runemjmcmc
See Also
runemjmcmc, parall.gmj
aliaksah/EMJMCMC2016 documentation built on July 27, 2023, 5:48 a.m.
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View source: R/the_mode_jumping_package5.r View source: R/the_mode_jumping_package4.r
| do.call.emjmcmc | R Documentation |
A help function used by parall.gmj to run parallel chains of (R)(G)MJMCMC algorithms
Usage
do.call.emjmcmc(vect)Arguments
vect |
a vector of parameters of runemjmcmc as well as several additional fields that must come after runemjmcmc parameters such as: vect$simlen - the number of parameters of runemjmcmc in vect, vect$cpu - the cpu id for to set the unique seed, vect$NM - the number of unique best models from runemjmcmc to base the output report upon |
Value
a list of
post.populi |
the total mass (sum of the marginal likelihoods times the priors of the visited models) from the addressed run of runemjmcmc |
p.post |
posterior probabilities of the covariates approximated by the addressed run of runemjmcmc |
cterm |
the best value of marginal likelihood times the prior from the addressed run of runemjmcmc |
fparam |
the final set of covariates returned by the addressed run of runemjmcmc |
See Also
runemjmcmc, parall.gmj
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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