proposalfunction_cov: proposalfunction_cov
In khaors/pumpingtest: R Package for the analysis and evaluation of pumping tests
View source: R/adaptative_mcmc_utilities.R
proposalfunction_cov R Documentation
proposalfunction_cov
Description
Function to propose new parameter values from a multivariate normal distribution with a
given mean and covariance matrix. This function is used to improve the convergence of a
MCMC.
Usage
proposalfunction_cov(mn, cv)
Arguments
mn
A numeric vector with the mean value of the parameters
cv
The covariance matrix
Value
A vector with realizations of a multivariate normal distribution with a given mean and
covariance
Author(s)
Oscar Garcia-Cabrejo khaors@gmail.com
See Also
Other amcmc_auxiliary_function functions: posterior,
prior, proposalfunction,
run_adap_metropolis_MCMC
khaors/pumpingtest documentation built on June 10, 2025, 4:53 a.m.
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.
View source: R/adaptative_mcmc_utilities.R
| proposalfunction_cov | R Documentation |
proposalfunction_cov
Description
Function to propose new parameter values from a multivariate normal distribution with a given mean and covariance matrix. This function is used to improve the convergence of a MCMC.
Usage
proposalfunction_cov(mn, cv)
Arguments
mn |
A numeric vector with the mean value of the parameters |
cv |
The covariance matrix |
Value
A vector with realizations of a multivariate normal distribution with a given mean and covariance
Author(s)
Oscar Garcia-Cabrejo khaors@gmail.com
See Also
Other amcmc_auxiliary_function functions: posterior,
prior, proposalfunction,
run_adap_metropolis_MCMC
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.