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"title": "Create a graded response model", "concept": [ "response model" ], "topics": [ "rpf.grm" ] }, { "page": "rpf.grmp", "title": "Create monotonic polynomial graded response (GR-MP) model", "concept": [ "response model" ], "topics": [ "rpf.grmp" ] }, { "page": "rpf.id_of", "title": "Convert an rpf item model name to an ID", "topics": [ "rpf.id_of" ] }, { "page": "rpf.info", "title": "Map an item model, item parameters, and person trait score into a information vector", "topics": [ "rpf.info" ] }, { "page": "rpf.lmp", "title": "Create logistic function of a monotonic polynomial (LMP) model", "concept": [ "response model" ], "topics": [ "rpf.lmp" ] }, { "page": "rpf.logprob", "title": "Map an item model, item parameters, and person trait score into a probability vector", "topics": [ "rpf.logprob", "rpf.logprob,rpf.1dim,numeric,matrix-method", "rpf.logprob,rpf.1dim,numeric,numeric-method", "rpf.logprob,rpf.mdim,numeric,matrix-method", "rpf.logprob,rpf.mdim,numeric,NULL-method", "rpf.logprob,rpf.mdim,numeric,numeric-method", "_rpf_logprob" ] }, { "page": "rpf.mcm", "title": "Create a multiple-choice response model", "concept": [ "response model" ], "topics": [ "rpf.mcm" ] }, { "page": "rpf.mean.info", "title": "Find the point where an item provides mean maximum information", "topics": [ "rpf.mean.info" ] }, { "page": "rpf.mean.info1", "title": "Find the point where an item provides mean maximum information", "topics": [ "rpf.mean.info1" ] }, { "page": "rpf.modify", "title": "Create a similar item specification with the given number of factors", "topics": [ "rpf.modify", "rpf.modify,rpf.mdim.drm,numeric-method", "rpf.modify,rpf.mdim.graded,numeric-method", "rpf.modify,rpf.mdim.nrm,numeric-method" ] }, { "page": "rpf.nrm", "title": "Create a nominal response model", "concept": [ "response model" ], "topics": [ "rpf.nrm" ] }, { "page": "rpf.numParam", "title": "Length of the item parameter vector", "topics": [ "rpf.numParam", "rpf.numParam,rpf.base-method", "rpf_numParam_wrapper" ] }, { "page": "rpf.numSpec", "title": "Length of the item model vector", "topics": [ "rpf.numSpec", "rpf.numSpec,rpf.base-method", "rpf_numSpec_wrapper" ] }, { "page": "rpf.ogive", "title": "The ogive constant", "topics": [ "rpf.ogive" ] }, { "page": "rpf.paramInfo", "title": "Retrieve a description of the given parameter", "topics": [ "rpf.paramInfo", "rpf.paramInfo,rpf.base-method", "rpf_paramInfo_wrapper" ] }, { "page": "rpf.prob", "title": "Map an item model, item parameters, and person trait score into a probability vector", "topics": [ "rpf.prob", "rpf.prob,rpf.1dim,numeric,matrix-method", "rpf.prob,rpf.1dim,numeric,numeric-method", "rpf.prob,rpf.1dim.grm,numeric,numeric-method", "rpf.prob,rpf.base,data.frame,numeric-method", "rpf.prob,rpf.base,matrix,matrix-method", "rpf.prob,rpf.base,matrix,numeric-method", "rpf.prob,rpf.mdim,numeric,matrix-method", "rpf.prob,rpf.mdim,numeric,NULL-method", "rpf.prob,rpf.mdim,numeric,numeric-method", "rpf.prob,rpf.mdim.grm,numeric,matrix-method", "rpf.prob,rpf.mdim.grm,numeric,numeric-method", "rpf.prob,rpf.mdim.mcm,numeric,matrix-method", "rpf.prob,rpf.mdim.nrm,numeric,matrix-method", "_rpf_prob" ] }, { "page": "rpf.rescale", "title": "Rescale item parameters", "topics": [ "rpf.rescale", "rpf.rescale,rpf.base,numeric,numeric,matrix-method", "_rpf_rescale" ] }, { "page": "rpf.rparam", "title": "Generates item parameters", "topics": [ "rpf.rparam", "rpf.rparam,rpf.1dim.drm-method", "rpf.rparam,rpf.1dim.gpcmp-method", "rpf.rparam,rpf.1dim.graded-method", "rpf.rparam,rpf.1dim.grmp-method", "rpf.rparam,rpf.1dim.lmp-method", "rpf.rparam,rpf.mdim.drm-method", "rpf.rparam,rpf.mdim.graded-method", "rpf.rparam,rpf.mdim.mcm-method", "rpf.rparam,rpf.mdim.nrm-method" ] }, { "page": "rpf.sample", "title": "Randomly sample response patterns given a list of items", "topics": [ "rpf.sample" ] }, { "page": "science", "title": "Liking for Science dataset", "topics": [ "science", "sfif", "sfpf", "sfsf", "sfxf" ] }, { "page": "SitemFit", "title": "Compute the S fit statistic for a set of items", "concept": [ "diagnostic" ], "topics": [ "SitemFit" ] }, { "page": "SitemFit1", "title": "Compute the S fit statistic for 1 item", "concept": [ "diagnostic" ], "topics": [ "SitemFit1" ] }, { "page": "stripData", "title": "Strip data and scores from an IFA group", "topics": [ "stripData" ] }, { "page": "sumScoreEAP", "title": "Compute the sum-score EAP table", "concept": [ "scoring" ], "topics": [ "sumScoreEAP" ] }, { "page": "sumScoreEAPTest", "title": "Conduct the sum-score EAP distribution test", "concept": [ "diagnostic" ], "topics": [ "sumScoreEAPTest" ] }, { "page": "tabulateRows", "title": "Tabulate data.frame rows", "topics": [ "tabulateRows" ] }, { "page": "toFactorLoading", "title": "Convert response function slopes to factor loadings", "concept": [ "factor model equivalence" ], "topics": [ "toFactorLoading" ] }, { "page": "toFactorThreshold", "title": "Convert response function intercepts to factor thresholds", "concept": [ "factor model equivalence" ], "topics": [ "toFactorThreshold" ] }, { "page": "write.flexmirt", "title": "Write a flexMIRT PRM file", "topics": [ "write.flexmirt" ] } ], "_readme": "https://github.com/cran/rpf/raw/HEAD/README.md", "_rundeps": [ "cli", "lifecycle", "mvtnorm", "Rcpp", "RcppEigen", "rlang" ], "_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" }, { "shlib": "libgomp", "package": "libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "flexmirt-plots.Rmd", "filename": "flexmirt-plots.html", "title": "Basic 1 dimensional plots (HTML)", "engine": "knitr::knitr", "headings": [ "Basic 1 dimensional plots", "Load data", 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