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:Carolyn Rutter [aut, cph], Jonathan Ozik [aut], Nicholson Collier [aut], Christopher, E. Maerzluft [aut, cre]

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'))

Peer review:

Bug tracker:https://github.com/c-rutter/imabc/issues

On CRAN:

calibrationsimulation

5.38 score 8 stars 7 scripts 172 downloads 10 exports 8 dependencies

Last updated 2 years agofrom:a58a3b7c8d. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winNOTEOct 13 2024
R-4.5-linuxNOTEOct 13 2024
R-4.4-winNOTEOct 13 2024
R-4.4-macNOTEOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:add_prioradd_targetas.priorsas.targetsdefine_priorsdefine_target_functiondefine_targetsgroup_targetsimabcread_previous_results

Dependencies:codetoolsdata.tableforeachiteratorslhsMASSRcpptruncnorm

Defining Priors

Rendered frompriors.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2022-11-09
Started: 2022-11-09

imabc

Rendered fromimabc.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2022-11-10
Started: 2022-11-09

Readme and manuals

Help Manual

Help pageTopics
Define Target Function(s)define_target_function
Incremental Mixture Approximate Bayesian Computation (IMABC)imabc
Specify the Prior Distributions for All Parametersadd_prior as.priors define_priors PriorsSpecification
Read Previous Resultsread_previous_results
Specify Targetsadd_target as.targets define_targets group_targets TargetsSpecifications