get_samples_single_noninformative: Get posterior samples from a non-informative priors model
In michael-franke/aida-package: R package with helper functions for courses on _A_dvanced topics in and _I_ntro to _D_ata _A_nalysis
View source: R/get_samples_single_noninformative.R
get_samples_single_noninformative R Documentation
Get posterior samples from a non-informative priors model
Description
Convenience function for obtaining posterior samples from
a non-informative priors model for inferring the parameters
mu and sigma of a normal distribution.
Usage
get_samples_single_noninformative(data_vector, n_samples = 1000)
Arguments
data_vector
vector of metric observations
n_samples
number of samples taken from the posterior
Value
A tibble of associated samples.
michael-franke/aida-package documentation built on Feb. 19, 2023, 11:51 p.m.
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View source: R/get_samples_single_noninformative.R
| get_samples_single_noninformative | R Documentation |
Get posterior samples from a non-informative priors model
Description
Convenience function for obtaining posterior samples from
a non-informative priors model for inferring the parameters
mu and sigma of a normal distribution.
Usage
get_samples_single_noninformative(data_vector, n_samples = 1000)
Arguments
data_vector |
vector of metric observations |
n_samples |
number of samples taken from the posterior |
Value
A tibble of associated samples.
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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