Package: imabc 1.0.3
"Christopher, E. Maerzluft"
imabc: Incremental Mixture Approximate Bayesian Computation (IMABC)
Provides functionality to perform a likelihood-free method for estimating the parameters of complex models that results in a simulated sample from the posterior distribution of model parameters given targets. The method begins with a accept/reject approximate bayes computation (ABC) step applied to a sample of points from the prior distribution of model parameters. Accepted points result in model predictions that are within the initially specified tolerance intervals around the target points. The sample is iteratively updated by drawing additional points from a mixture of multivariate normal distributions, accepting points within tolerance intervals. As the algorithm proceeds, the acceptance intervals are narrowed. The algorithm returns a set of points and sampling weights that account for the adaptive sampling scheme. For more details see Rutter, Ozik, DeYoreo, and Collier (2018) <arxiv:1804.02090>.
Authors:
imabc_1.0.3.tar.gz
imabc_1.0.3.zip(r-4.5)imabc_1.0.3.zip(r-4.4)imabc_1.0.3.zip(r-4.3)
imabc_1.0.3.tgz(r-4.4-any)imabc_1.0.3.tgz(r-4.3-any)
imabc_1.0.3.tar.gz(r-4.5-noble)imabc_1.0.3.tar.gz(r-4.4-noble)
imabc_1.0.3.tgz(r-4.4-emscripten)imabc_1.0.3.tgz(r-4.3-emscripten)
imabc.pdf |imabc.html✨
imabc/json (API)
NEWS
# Install 'imabc' in R: |
install.packages('imabc', repos = c('https://c-rutter.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/c-rutter/imabc/issues
Last updated 2 years agofrom:a58a3b7c8d. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win | NOTE | Oct 13 2024 |
R-4.5-linux | NOTE | Oct 13 2024 |
R-4.4-win | NOTE | Oct 13 2024 |
R-4.4-mac | NOTE | Oct 13 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:add_prioradd_targetas.priorsas.targetsdefine_priorsdefine_target_functiondefine_targetsgroup_targetsimabcread_previous_results
Dependencies:codetoolsdata.tableforeachiteratorslhsMASSRcpptruncnorm
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Define Target Function(s) | define_target_function |
Incremental Mixture Approximate Bayesian Computation (IMABC) | imabc |
Specify the Prior Distributions for All Parameters | add_prior as.priors define_priors PriorsSpecification |
Read Previous Results | read_previous_results |
Specify Targets | add_target as.targets define_targets group_targets TargetsSpecifications |