{ "_id": "6a1f2784b401979e734226ec", "Package": "ForestFit", "Type": "Package", "Title": "Statistical Modelling for Plant Size Distributions", "Authors@R": "person('Mahdi', 'Teimouri', email = 'teimouri@aut.ac.ir', role = c('aut', 'cre', 'cph', 'ctb'), comment = c(ORCID = '0000-0002-5371-9364'))", "Author": "Mahdi Teimouri [aut, cre, cph, ctb]\n()", "Maintainer": "Mahdi Teimouri ", "Description": "Developed for the following tasks. 1 ) Computing the\nprobability density function, cumulative distribution function,\nrandom generation, and estimating the parameters of the eleven\nmixture models. 2 ) Point estimation of the parameters of two -\nparameter Weibull distribution using twelve methods and three -\nparameter Weibull distribution using nine methods. 3 ) The\nBayesian inference for the three - parameter Weibull\ndistribution. 4 ) Estimating parameters of the three -\nparameter Birnbaum - Saunders, generalized exponential, and\nWeibull distributions fitted to grouped data using three\nmethods including approximated maximum likelihood, expectation\nmaximization, and maximum likelihood. 5 ) Estimating the\nparameters of the gamma, log-normal, and Weibull mixture models\nfitted to the grouped data through the EM algorithm, 6 )\nEstimating parameters of the nonlinear height curve fitted to\nthe height - diameter observation, 7 ) Estimating parameters,\ncomputing probability density function, cumulative distribution\nfunction, and generating realizations from gamma shape mixture\nmodel introduced by Venturini et al. (2008)\n , 8 ) The Bayesian inference,\ncomputing probability density function, cumulative distribution\nfunction, and generating realizations from univariate and\nbivariate Johnson SB distribution, 9 ) Robust multiple linear\nregression analysis when error term follows skewed t\ndistribution, 10 ) Estimating parameters of a given\ndistribution fitted to grouped data using method of maximum\nlikelihood, and 11 ) Estimating parameters of the Johnson SB\ndistribution through the Bayesian, method of moment,\nconditional maximum likelihood, and two - percentile method.", "Encoding": "UTF-8", "License": "GPL (>= 2)", "Version": "2.4.3", "Date": "2025-01-08", "NeedsCompilation": "no", "LazyData": "true", "Packaged": { "Date": "2026-05-16 05:33:01 UTC", "User": "root" }, "Repository": "https://mahditeimouri.r-universe.dev", "Date/Publication": "2025-01-09 17:30:11 UTC", "RemoteUrl": "https://github.com/cran/ForestFit", "RemoteRef": "HEAD", "RemoteSha": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "MD5sum": "389e22185d035bea9926542d48d393f3", "_user": "mahditeimouri", "_type": "src", "_file": "ForestFit_2.4.3.tar.gz", "_fileid": "cd531b6ccd011b2aaa2df9530723aacfffe8e4d3e8ca89ae8e3d8ec6a4a25ddd", "_filesize": 466934, "_sha256": "cd531b6ccd011b2aaa2df9530723aacfffe8e4d3e8ca89ae8e3d8ec6a4a25ddd", "_created": "2026-05-16T05:33:01.000Z", "_published": "2026-06-02T18:57:07.994Z", "_distro": "noble", "_jobs": [ { "job": 79148801632, "time": 95, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7030854707" }, { "job": 79148802121, "time": 93, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7030854550" }, { "job": 79148801911, "time": 150, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7030860523" }, { "job": 79148802132, "time": 83, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7030853262" }, { "job": 79148801281, "time": 211, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7030843661" }, { "job": 79148801200, "time": 89, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7367082344" }, { "job": 79148802182, "time": 76, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7030852605" }, { "job": 79148802189, "time": 73, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7030852295" }, { "job": 79148802037, "time": 82, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7030853092" } ], "_buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/ForestFit", "_commit": { "id": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "author": "Mahdi Teimouri ", "committer": "cran-robot ", "message": "version 2.4.3\n", "time": 1736443811 }, "_maintainer": { "name": "Mahdi Teimouri", "email": "teimouri@aut.ac.ir", "login": "mahditeimouri", "uuid": 132248719, "orcid": "0000-0002-5371-9364" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.4.4", "role": "Depends" }, { "package": "ars", "role": "Imports" }, { "package": "pracma", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "mahditeimouri", "count": 16, "uuid": 132248719 } ], "_userbio": { "uuid": 132248719, "type": "user", "name": "Mahdi" }, "_downloads": { "count": 302, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ForestFit" }, "_searchresults": 3, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/ForestFit.html", "manual.pdf" ], "_realowner": "mahditeimouri", "_cranurl": false, "_releases": [ { "version": "0.3", "date": "2019-07-18" }, { "version": "0.4", "date": "2019-09-11" }, { "version": "0.4.1", "date": "2019-09-27" }, { "version": "0.4.3", "date": "2019-11-14" }, { "version": "0.4.4", "date": "2019-11-24" }, { "version": "0.4.6", "date": "2019-11-30" }, { "version": "0.4.7", "date": "2020-01-22" }, { "version": "0.5.7", "date": "2020-02-14" }, { "version": "0.5.8", "date": "2020-05-23" }, { "version": "0.5.9", "date": "2020-06-16" }, { "version": "0.6.0", "date": "2020-06-28" }, { "version": "0.6.1", "date": "2020-07-08" }, { "version": "0.7.1", "date": "2021-02-06" }, { "version": "1.2.3", "date": "2021-10-16" }, { "version": "2.2.3", "date": "2023-02-28" }, { "version": "2.4.3", "date": "2025-01-09" } ], "_exports": [ "dgsm", "djsb", "djsbb", "dmixture", "fitbayesJSB", "fitbayesWeibull", "fitcurve", "fitgrouped1", "fitgrouped2", "fitgsm", "fitJSB", "fitmixture", "fitmixturegrouped", "fitWeibull", "pgsm", "pjsb", "pmixture", "rgsm", "rjsb", "rjsbb", "rmixture", "skewtreg" ], "_datasets": [ { "name": "DBH", "title": "Trees height and diameter at breast height", "object": "DBH", "class": [ "data.frame" ], "fields": [ "Plot", "Stand", "SOB", "IB", "Tree", "dbhcm98", "htm98", "hlcm98", "status13", "dbhcm13", "htm13", "hlcm13", "TSF", "NTB" ], "rows": 5731, "table": true, "tojson": true }, { "name": "HW", "title": "Mixed norther hardwood", "object": "HW", "class": [ "data.frame" ], "fields": [ "SCIENTIFIC.NAME", "DIA" ], "rows": 25, "table": true, "tojson": true }, { "name": "SW", "title": "Southern loblolly pine plantation", "object": "SW", "class": [ "data.frame" ], "fields": [ "SCIENTIFIC.NAME", "DIA" ], "rows": 18, "table": true, "tojson": true } ], "_help": [ { "page": "DBH", "title": "Trees height and diameter at breast height", "topics": [ "DBH" ] }, { "page": "dgsm", "title": "Computing probability density function of the gamma shape mixture model", "topics": [ "dgsm" ] }, { "page": "djsb", "title": "Computing the probability density function of Johnson's SB (JSB) distribution", "topics": [ "djsb" ] }, { "page": "djsbb", "title": "Computing the probability density function of bivariate Johnson's SB (JSBB) distribution", "topics": [ "djsbb" ] }, { "page": "dmixture", "title": "Computing probability density function of the well-known mixture models", "topics": [ "dmixture" ] }, { "page": "fitbayesJSB", "title": "Estimating parameters of the Johnson's SB (JSB) distribution using the Bayesian approach", "topics": [ "fitbayesJSB" ] }, { "page": "fitbayesWeibull", "title": "Estimating parameters of the Weibull distribution using the Bayesian approach", "topics": [ "fitbayesWeibull" ] }, { "page": "fitcurve", "title": "Estimatinng the parameters of the nonlinear curve fitted to the height-diameter(H-D) observations", "topics": [ "fitcurve" ] }, { "page": "fitgrouped1", "title": "Estimating parameters of the three-parameter Birnbaum-saunders (BS), generalized exponential (GE), and Weibull distributions fitted to grouped data", "topics": [ "fitgrouped1" ] }, { "page": "fitgrouped2", "title": "Estimating parameters of the three-parameter Birnbaum-saunders (BS), generalized exponential (GE), and Weibull distributions fitted to grouped data", "topics": [ "fitgrouped2" ] }, { "page": "fitgsm", "title": "Estimating parameters of the gamma shape mixture model", "topics": [ "fitgsm" ] }, { "page": "fitJSB", "title": "Estimating parameters of the Johnson's SB (JSB) distribution using four methods", "topics": [ "fitJSB" ] }, { "page": "fitmixture", "title": "Estimating parameters of the well-known mixture models", "topics": [ "fitmixture" ] }, { "page": "fitmixturegrouped", "title": "Estimating parameters of the well-known mixture models fitted to the grouped data", "topics": [ "fitmixturegrouped" ] }, { "page": "fitWeibull", "title": "Estimating parameters of the Weibull distribution through classical methods", "topics": [ "fitWeibull" ] }, { "page": "HW", "title": "Mixed norther hardwood", "topics": [ "HW" ] }, { "page": "pgsm", "title": "Computing cumulative distribution function of the gamma shape mixture model", "topics": [ "pgsm" ] }, { "page": "pjsb", "title": "Computing the cumulative distribution function of Johnson's SB (JSB) distribution", "topics": [ "pjsb" ] }, { "page": "pmixture", "title": "Computing cumulative distribution function of the well-known mixture models", "topics": [ "pmixture" ] }, { "page": "rgsm", "title": "Simulating realizations from the gamma shape mixture model", "topics": [ "rgsm" ] }, { "page": "rjsb", "title": "Simulating realizations from the Johnson's SB (JSB) distribution", "topics": [ "rjsb" ] }, { "page": "rjsbb", "title": "Simulating realizations from bivariate Johnson's SB (JSBB) distribution.", "topics": [ "rjsbb" ] }, { "page": "rmixture", "title": "Generating random realizations from the well-known mixture models", "topics": [ "rmixture" ] }, { "page": "skewtreg", "title": "Robust multiple linear regression modelling when error term follows a skew Student's t distribution", "topics": [ "skewtreg" ] }, { "page": "SW", "title": "Southern loblolly pine plantation", "topics": [ "SW" ] }, { "page": "welcome", "title": "Starting message when loading ForestFit", "topics": [ "welcome" ] } ], "_rundeps": [ "ars", "pracma" ], "_score": 1, "_indexed": true, "_nocasepkg": "forestfit", "_universes": [ "mahditeimouri" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "2.4.3", "date": "2026-05-16T05:34:38.000Z", "distro": "noble", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "c31ec48efc9d348ba7aa36eddae0209844f77733a63bc8b1b3c115563c5b7865", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.6.0", "os": "linux", "version": "2.4.3", "date": "2026-05-16T05:34:37.000Z", "distro": "noble", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "b2a731b6bd68aedaf7850d421af61a1c624f0392e4bacdde849abac47d4eb6a8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.5.3", "os": "mac", "version": "2.4.3", "date": "2026-05-16T05:35:25.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "8273152ae2f7c7504fc60e1c0b45306b7c32378426de07a0352a55a9c360fbf7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.6.0", "os": "mac", "version": "2.4.3", "date": "2026-05-16T05:34:34.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "cc9f0972078564a07e2041f56a2db4b9a39cfe60f0888020ed0c7db1143eebe3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.7.0", "os": "win", "version": "2.4.3", "date": "2026-05-16T05:34:13.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "706ef9bbb8f582787759fc473f8ae4bcb8fec364204e4c701b03a29420e7f620", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.5.3", "os": "win", "version": "2.4.3", "date": "2026-05-16T05:34:09.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "d033eaaa2b9ebda3ebbd6e5e261e775abbb277a3959a60aca075b56cc74df5ad", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.6.0", "os": "win", "version": "2.4.3", "date": "2026-05-16T05:34:14.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "75485c967daca20db4eff7ef1ddee26c35fb01465028037ce505d207989cb019", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" }, { "r": "4.6.0", "os": "wasm", "version": "2.4.3", "date": "2026-06-02T18:56:46.000Z", "commit": "e20656dc0e23df5a09d2f8ba8743a6b563c360cb", "fileid": "b3a66d2123c3307aebbc5d1475085e4e4fc16a3ac0b81b2e7d01ad35c52678e5", "status": "success", "buildurl": "https://github.com/r-universe/mahditeimouri/actions/runs/25953899353" } ] }