postFUN: Construct a posterior function for optimisation
In matweldon/RMWutils:
View source: R/probability_model_functions.r
postFUN R Documentation
Construct a posterior function for optimisation
Description
Returns a function of a single parameter vector
Usage
postFUN(FUNS, master, args)
Arguments
FUNS
list of functions (log-likelihoods and log-priors)
master
logical matrix giving indices of par vector for each function
args
List of arguments to each function
Value
a function that accepts a single parameter vector and
evaluates the log prior. The data supplied in 'args' is
"baked in" to the function environment and does not need
to be resupplied.
matweldon/RMWutils documentation built on May 16, 2022, 12:24 a.m.
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View source: R/probability_model_functions.r
| postFUN | R Documentation |
Construct a posterior function for optimisation
Description
Returns a function of a single parameter vector
Usage
postFUN(FUNS, master, args)
Arguments
FUNS |
list of functions (log-likelihoods and log-priors) |
master |
logical matrix giving indices of par vector for each function |
args |
List of arguments to each function |
Value
a function that accepts a single parameter vector and evaluates the log prior. The data supplied in 'args' is "baked in" to the function environment and does not need to be resupplied.
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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