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Parameter estimation and uncertainty\nquantification can be carried out using the ht() function (for\nhypothesis testing) and the ci() function (for constructing a\nconfidence interval for one-dimensional parameters).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-06 09:07:19 UTC", "User": "root" }, "Author": "Joonha Park [aut, cre]\n()", "Maintainer": "Joonha Park ", "Repository": "https://joonhap.r-universe.dev", "Date/Publication": "2025-03-13 12:50:02 UTC", "RemoteUrl": "https://github.com/cran/sbim", "RemoteRef": "HEAD", "RemoteSha": "b27ad9d8439345a50b4b474b59fcaf85138ea205", "MD5sum": "112310d2cca1cc55bd02e959ff056cf5", "_user": "joonhap", "_type": "src", "_file": "sbim_1.0.0.tar.gz", "_fileid": "655a1a6380474a3be27daa9951af2c25b067e1fd4654c05a997bbf2ac69093a0", "_filesize": 2525536, "_sha256": "655a1a6380474a3be27daa9951af2c25b067e1fd4654c05a997bbf2ac69093a0", 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"optDesign", "optDesign.simll" ] }, { "page": "SCL", "title": "The SCL distribution", "topics": [ "pscl", "qscl", "rscl", "SCL" ] }, { "page": "simll", "title": "Simulation Log Likelihood class", "topics": [ "simll" ] } ], "_rundeps": [ "Rcpp" ], "_sysdeps": [ { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "how-to-use-sbim.Rmd", "filename": "how-to-use-sbim.html", "title": "How to use package sbim: Simulation-Based Inference using a Metamodel for Log-Likelihood Estimator", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Mathematical framework", "Parameter inference using local asymptotic normality (LAN) for simulation log-likelihood", "Getting started", "An example: gamma-Poisson observations", "Hypothesis test on the maximum expected simulation log-likelihood estimator (MESLE)", "Hypothesis 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