log_post_opt: Evaluate log-posterior of calibrated parameters for...
In SC-COSMO/sccosmomcma: Stanford-CIDE COronavirus Simulation MOdel (SC-COSMO) for Mexico City Metropolitan Area Analysis
Description
Usage
Arguments
Value
View source: R/03_calibration_functions.R
Description
log_post_opt computes a log-posterior value for one (or multiple)
parameter set(s) based on the simulation model, likelihood functions and
prior distributions. Used for OPTIMIZATION purposes, NOT Bayesian
estimation.
Usage
1
log_post_opt(v_params, ...)
Arguments
v_params
Vector (or matrix) of model parameters.
...
Further arguments to be passed to.
Value
A scalar (or vector) with log-posterior values.
SC-COSMO/sccosmomcma documentation built on Dec. 18, 2021, 11:56 a.m.
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Description Usage Arguments Value
View source: R/03_calibration_functions.R
Description
log_post_opt computes a log-posterior value for one (or multiple)
parameter set(s) based on the simulation model, likelihood functions and
prior distributions. Used for OPTIMIZATION purposes, NOT Bayesian
estimation.
Usage
1 | log_post_opt(v_params, ...)
|
Arguments
v_params |
Vector (or matrix) of model parameters. |
... |
Further arguments to be passed to. |
Value
A scalar (or vector) with log-posterior values.
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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