mcparam.itercount: Get the iteration count for a monte carlo dataset.
In JGCRI/ambrosia: An R package for calculating and analyzing food demand that is responsive to changing incomes and prices
View source: R/mcpar-analysis.R
mcparam.itercount R Documentation
Get the iteration count for a monte carlo dataset.
Description
This is only necessary for the C++ MC code, due to some limitations in the
way it records its output.
Usage
mcparam.itercount(niter, nproc, npset)
Arguments
niter
Total number of iterations in the mcpar loop.
nproc
Number of processors allocated to the calculation.
npset
Number of parameter sets per processor
Value
iteration count for MCMC calculation
JGCRI/ambrosia documentation built on June 11, 2025, 12:29 a.m.
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View source: R/mcpar-analysis.R
| mcparam.itercount | R Documentation |
Get the iteration count for a monte carlo dataset.
Description
This is only necessary for the C++ MC code, due to some limitations in the way it records its output.
Usage
mcparam.itercount(niter, nproc, npset)
Arguments
niter |
Total number of iterations in the mcpar loop. |
nproc |
Number of processors allocated to the calculation. |
npset |
Number of parameter sets per processor |
Value
iteration count for MCMC calculation
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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