posterior_trajectories: Get posterior distribution samples for the demographic model
In thednainus/senegalHIVmodel: Analysis of HIV data from Senegal
Description
Usage
Arguments
Value
See Also
Examples
View source: R/mcmc_posterior.R
Description
Solve the demographic model for n combination of parameter values from the
posterior distribution
Usage
1
posterior_trajectories(run, burnin, n, THETA)
Arguments
run
object of class "mcmcSamplerList" and "bayesianOutput"
burnin
intenger representing number of samples to remove as burnin
n
integer representing the number of samples to get from the
posterior distribution
THETA
list of parameter template used when running the MCMC analysis
Value
a list of solved objects for posterior distributions and MAP (maximum
a posteriori)
See Also
Examples
1
# TO DO
thednainus/senegalHIVmodel documentation built on Oct. 28, 2021, 3:11 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/mcmc_posterior.R
Description
Solve the demographic model for n combination of parameter values from the posterior distribution
Usage
1 | posterior_trajectories(run, burnin, n, THETA)
|
Arguments
run |
object of class "mcmcSamplerList" and "bayesianOutput" |
burnin |
intenger representing number of samples to remove as burnin |
n |
integer representing the number of samples to get from the posterior distribution |
THETA |
list of parameter template used when running the MCMC analysis |
Value
a list of solved objects for posterior distributions and MAP (maximum a posteriori)
See Also
Examples
1 | # TO DO
|
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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