average_model_SE_mcmc_se: Compute the MCMC SE for the average model SE
In smildiner/simHMM: Execute simulation study with mHMMbayes
average_model_SE_mcmc_se R Documentation
Compute the MCMC SE for the average model SE
Description
Compute the MCMC SE for the average model SE
Usage
average_model_SE_mcmc_se(SE, n_sim, modSE)
Arguments
SE
the SD of the posterior distribution for each parameter in the simulation scenario.
nsim
scalar. Number of iterations used in the scenario.
Value
average model SE MCMC SE
See Also
Morris, Tim P., Ian R. White, and Michael J. Crowther. "Using simulation studies to evaluate statistical methods." Statistics in medicine 38.11 (2019): 2074-2102.
smildiner/simHMM documentation built on July 17, 2022, 2 p.m.
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| average_model_SE_mcmc_se | R Documentation |
Compute the MCMC SE for the average model SE
Description
Compute the MCMC SE for the average model SE
Usage
average_model_SE_mcmc_se(SE, n_sim, modSE)
Arguments
SE |
the SD of the posterior distribution for each parameter in the simulation scenario. |
nsim |
scalar. Number of iterations used in the scenario. |
Value
average model SE MCMC SE
See Also
Morris, Tim P., Ian R. White, and Michael J. Crowther. "Using simulation studies to evaluate statistical methods." Statistics in medicine 38.11 (2019): 2074-2102.
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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