mcmc_hdi: mcmc_hdi
In bayes4psy: User Friendly Bayesian Data Analysis for Psychology
View source: R/shared_functions.R
mcmc_hdi R Documentation
mcmc_hdi
Description
A function for calculating the HDI (highest density interval) of a vector of values.
Usage
mcmc_hdi(samples, cred_mass = 0.95)
Arguments
samples
vector of values.
cred_mass
credibility mass that the interval should include (default = 0.95).
Value
Boundaries of the HDI.
Author(s)
John Kruschke
bayes4psy documentation built on Sept. 29, 2023, 5:08 p.m.
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View source: R/shared_functions.R
| mcmc_hdi | R Documentation |
mcmc_hdi
Description
A function for calculating the HDI (highest density interval) of a vector of values.
Usage
mcmc_hdi(samples, cred_mass = 0.95)
Arguments
samples |
vector of values. |
cred_mass |
credibility mass that the interval should include (default = 0.95). |
Value
Boundaries of the HDI.
Author(s)
John Kruschke
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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