tag:joss.theoj.org,2005:/papers/tagged/mixture%20modelingJournal of Open Source Software2022-01-13T17:26:35ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/32672022-01-13T17:26:35Z2022-01-14T00:01:04ZmixR: An R package for Finite Mixture Modeling for Both Raw and Binned Dataaccepted0.2.02021-12-29 06:12:23 UTC692022-01-13 17:26:35 UTC720224031YoujiaoYuDepartment of Statistical Science, Baylor University0000-0003-0519-960510.21105/joss.04031https://doi.org/10.5281/zenodo.5842096R, C++https://joss.theoj.org/papers/10.21105/joss.04031.pdfmixture models, EM algorithm, model selectiontag:joss.theoj.org,2005:Paper/20322020-12-02T00:27:18Z2021-02-15T11:29:56ZThermosteam: BioSTEAM's Premier Thermodynamic Engineaccepted0.20.262020-09-14 17:27:26 UTC562020-12-02 00:27:18 UTC520202814YoelCortés-PeñaDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, DOE Center for Advanced Bioenergy and Bioproducts Innovation (CABBI)0000-0003-1742-505910.21105/joss.02814https://doi.org/10.5281/zenodo.4294315Pythonhttps://joss.theoj.org/papers/10.21105/joss.02814.pdfBioSTEAM, thermodynamics, process modeling, mass and energy balance, chemical properties, mixture properties, phase equilibriumtag:joss.theoj.org,2005:Paper/6292019-12-02T19:27:34Z2021-02-15T11:32:59ZtidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Softwareaccepted0.2.1 (development version; most recent CRAN version is 0.2.0)2018-09-16 18:42:50 UTC302019-12-02 19:27:34 UTC32018978JoshuaM.RosenbergUniversity of Tennessee, Knoxville0000-0003-2170-0447PatrickN.BeymerMichigan State University0000-0002-3569-2305DanielJ.AndersonUniversity of Oregon0000-0003-4699-4680C.j.van LissaUtrecht University0000-0002-0808-5024JenniferA.SchmidtMichigan State University0000-0003-2853-980110.21105/joss.00978https://doi.org/10.5281/zenodo.1455773Rhttps://joss.theoj.org/papers/10.21105/joss.00978.pdfmixture modeling, Latent Profile Analysis, MPlustag:joss.theoj.org,2005:Paper/10342019-07-02T10:33:47Z2021-02-15T11:32:05ZfitODBOD: An R Package to Model Binomial Outcome Data using Binomial Mixture and Alternate Binomial Distributions.acceptedv1.4.02019-06-13 08:51:25 UTC392019-07-02 10:33:47 UTC420191505AmalanMahendranDepartment of Statistics and Computer Science, Faculty of Science, University of Peradeniya.0000-0002-0643-9052PushpakanthieWijekoonDepartment of Statistics and Computer Science, Faculty of Science, University of Peradeniya.0000-0003-4242-101710.21105/joss.01505https://doi.org/10.5281/zenodo.3265356Rhttps://joss.theoj.org/papers/10.21105/joss.01505.pdffitODBOD, BOD, Over-dispersion, FBMD, ABDtag:joss.theoj.org,2005:Paper/4732018-06-04T13:20:54Z2021-02-15T11:33:27ZDiscrete Laplace mixture model with applications in forensic geneticsacceptedv1.72018-04-22 21:55:48 UTC262018-06-04 13:20:54 UTC32018748MikkelMeyerAndersenDepartment of Mathematical Sciences, Aalborg University, Denmark0000-0002-0234-026610.21105/joss.00748https://doi.org/10.5281/zenodo.1257887R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.00748.pdfY-chromosome, forensic genetics, population genetics, weight of evidencetag:joss.theoj.org,2005:Paper/2542017-10-16T00:00:00Z2021-02-15T11:33:58Zgmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisationacceptedv7.9602017-08-03 06:05:21 UTC182017-10-16 00:00:00 UTC22017365ConradSandersonData61, CSIRO, Australia, University of Queensland, Australia, Arroyo Consortium0000-0002-0049-4501RyanCurtinSymantec Corporation, USA, Arroyo Consortium0000-0002-9903-821410.21105/joss.00365https://doi.org/10.5281/zenodo.1012627C++, Matlabhttps://joss.theoj.org/papers/10.21105/joss.00365.pdfmodelling, statistics, numerics