Package: jaatha
Version: 2.4
Date: 2014-06-02
License: GPL (>= 3)
Title: A Fast Parameter Estimation Method for Evolutionary Biology
Author: Lisha Mathew, Paul R. Staab and Dirk Metzler
Maintainer: Paul R. Staab <staab@biologie.uni-muenchen.de>
BugReports: https://github.com/paulstaab/jaatha
Description: Jaatha is a composite likelihood method for inferring evolutionary
    parameters using genetic data. Given a model of the evolutionary history of
    two biological populations as well as SNP data from multiple individuals
    from each population, it estimates model parameters like the time of
    separation of both species.
URL: http://evol.bio.lmu.de/_statgen/software/jaatha
Depends: R (>= 3.0), methods
Imports: foreach (>= 1.2.0-1), phyclust (>= 0.1-14), Rcpp (>= 0.11.0),
        dplyr (>= 0.2), parallel
Suggests: ape (>= 2.7), RUnit
LinkingTo: Rcpp
Collate: 'Block.R' 'sim_program.R' 'DemographicModel.R' 'Jaatha.R'
        'confidence_intervals.R' 'estimate_log_likelihood.R'
        'find_best_par_in_block.R' 'fit_glm.R' 'helper_functions.R'
        'initial_search.R' 'normalize.R' 'parallelization.R'
        'read_fasta.R' 'refined_search.R' 'run_simulations.R'
        'sim_likelihood.R' 'sim_program_ms.R' 'sim_program_seqgen.R'
        'simulate_within_block.R' 'summary_statistics.R'
Packaged: 2014-06-02 12:45:12 UTC; paul
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-06-03 09:44:31
