scripts/cpp/readme.md
In JGCRI/ambrosia: An R package for calculating and analyzing food demand that is responsive to changing incomes and prices
Example of fitting parameters using an MCMC implemented in C++
This code shows how we used to use RInside to run the ambrosia from a C++ program. At one time this was how we used our C++
Markov Chain Monte Carlo code with the model, but these days we've
switched over to R-native MCMC packages. If someone really wants to run the model from C++, it
should be easy to rework this example to run with the new
version.
Using this code, the user can fit a log-likelihood function in ambrosia and then use the same to run a Markov Chain Monte Carlo parameter fit.
JGCRI/ambrosia documentation built on June 11, 2025, 12:29 a.m.
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Example of fitting parameters using an MCMC implemented in C++
This code shows how we used to use RInside to run the ambrosia from a C++ program. At one time this was how we used our C++
Markov Chain Monte Carlo code with the model, but these days we've
switched over to R-native MCMC packages. If someone really wants to run the model from C++, it
should be easy to rework this example to run with the new
version.
Using this code, the user can fit a log-likelihood function in ambrosia and then use the same to run a Markov Chain Monte Carlo parameter fit.
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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