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imabc
View on CRAN: Click
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Download and install imabc package within the R console
Install from CRAN:
install.packages("imabc")
Install from Github:
library("remotes")
install_github("cran/imabc")
Install by package version:
library("remotes")
install_version("imabc", "1.0.0")
Attach the package and use:
library("imabc")
Maintained by
"Christopher, E. Maerzluft"
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.imabc . https://github.com/carolyner/imabc/issues . https://github.com/carolyner/imabc . imabc results . imabc.pdf . imabc_1.0.0.tar.gz . imabc_1.0.0.zip . imabc_1.0.0.zip . imabc_1.0.0.zip . imabc_1.0.0.tgz . imabc_1.0.0.tgz . imabc_1.0.0.tgz . imabc_1.0.0.tgz . https://CRAN.R-project.org/package=imabc .
First Published: 2021-04-12
Latest Update: 2021-04-12
Description:
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) .
How to cite:
"Christopher, E. Maerzluft" (2021). imabc: Incremental Mixture Approximate Bayesian Computation (IMABC). R package version 1.0.0, https://cran.r-project.org/web/packages/imabc. Accessed 01 May. 2025.
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Complete documentation for imabc
Functions, R codes and Examples using
the imabc R package
Some associated functions: PriorsSpecification . TargetsSpecifications . define_target_function . imabc . read_previous_results .
Some associated R codes: Priors.R . Targets.R . check_format.R . combine_results.R . dMvn.R . define_target_function.R . draw_parms.R . eval_targets.R . get_B_draws.R . get_in_range.R . get_list_element.R . get_log_prior_d.R . get_mean_cov.R . get_mix_dist.R . get_new_bounds.R . get_sampling_d.R . get_update_targets.R . get_weight.R . imabc.R . in_range.R . init_good_dt.R . init_iter_dt.R . parm_covariance.R . parms_from_priors.R . read_previous_results.R . run_handler.R . save_results.R . seed_stream.R . target_distance.R . test_singularity.R . total_distance.R . unique_names.R . update_parm_sds.R . update_target_bounds.R . validate_prior_function.R . zzz.R . Full imabc package functions and examples
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