{ "_id": "6a14181eacfb0bcc41d3c94a", "Package": "RAMpath", "Type": "Package", "Title": "Structural Equation Modeling Using the Reticular Action Model\n(RAM) Notation", "Version": "0.5.1", "Date": "2023-08-26", "Author": "Zhiyong Zhang, Jack McArdle, Aki Hamagami, & Kevin Grimm", "Maintainer": "Zhiyong Zhang ", "Description": "We rewrite of RAMpath software developed by John McArdle\nand Steven Boker as an R package. In addition to performing\nregular SEM analysis through the R package lavaan, RAMpath has\nunique features. First, it can generate path diagrams\naccording to a given model. Second, it can display path tracing\nrules through path diagrams and decompose total effects into\ntheir respective direct and indirect effects as well as\ndecompose variance and covariance into individual bridges.\nFurthermore, RAMpath can fit dynamic system models\nautomatically based on latent change scores and generate vector\nfield plots based upon results obtained from a bivariate\ndynamic system. Starting version 0.4, RAMpath can conduct power\nanalysis for both univariate and bivariate latent change score\nmodels.", "License": "GPL-2", "URL": "https://nd.psychstat.org", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 09:33:21 UTC", "User": "root" }, "Repository": "https://labbdm.r-universe.dev", "Date/Publication": "2023-08-27 14:30:43 UTC", "RemoteUrl": "https://github.com/cran/RAMpath", "RemoteRef": "HEAD", "RemoteSha": "10b0350171c80918aee793c79ad5ae5bf2606936", "MD5sum": "365b556dc2f07eba3777138e06308f3b", "_user": "labbdm", "_type": "src", "_file": "RAMpath_0.5.1.tar.gz", "_fileid": "a065bd594fb4c060bba3170a687aee6573dc8d9e92a1f964e7a7e10c50007801", "_filesize": 214452, "_sha256": "a065bd594fb4c060bba3170a687aee6573dc8d9e92a1f964e7a7e10c50007801", "_created": "2026-05-25T09:33:21.000Z", "_published": "2026-05-25T09:36:30.502Z", "_distro": "noble", "_jobs": [ { "job": 77689275133, "time": 117, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", 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"_buildurl": "https://github.com/r-universe/labbdm/actions/runs/26393599362", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/RAMpath", "_commit": { "id": "10b0350171c80918aee793c79ad5ae5bf2606936", "author": "Zhiyong Zhang ", "committer": "cran-robot ", "message": "version 0.5.1\n", "time": 1693146643 }, "_maintainer": { "name": "Zhiyong Zhang", "email": "zzhang4@nd.edu", "login": "labbdm", "description": "Lab for Big Data Methodology at the University of Notre Dame directed by Prof. @johnnyzhz", "uuid": 169458781 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.0", "role": "Depends" }, { "package": "lavaan", "role": "Depends" }, { "package": "ellipse", "role": "Depends" }, { "package": "MASS", "role": "Depends" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 1, "_contributors": [ { "user": "labbdm", "count": 8, "uuid": 169458781 } ], "_userbio": { "uuid": 169458781, "type": "user", "name": "Lab for Big Data Methodology", "description": "Lab for Big Data Methodology at the University of Notre Dame directed by Prof. @johnnyzhz" }, "_downloads": { "count": 232, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RAMpath" }, "_searchresults": 13, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/RAMpath.html", "manual.pdf" ], "_realowner": "labbdm", "_cranurl": false, "_releases": [ { "version": "0.1.5", "date": "2012-10-08" }, { "version": "0.2", "date": "2012-10-24" }, { "version": "0.3.5", "date": "2013-03-07" }, { "version": "0.3.6", "date": "2013-06-26" }, { "version": "0.3.7", "date": "2013-08-09" }, { "version": "0.3.8", "date": "2014-01-21" }, { "version": "0.4", "date": "2016-10-07" }, { "version": "0.5.1", "date": "2023-08-27" } ], "_exports": [ "lavaan2ram", "powerBLCS", "powerLCS", "ram2lavaan", "ramBLCS", "ramEffectSE", "ramFit", "ramLCM", "ramLCS", "ramMatrix", "ramPathBridge", "ramReFit", "ramShowModel", "ramUniquePath", "ramVF" ], "_datasets": [ { "name": "ex1", "title": "Example data set 1", "object": "ex1", "file": "ex1.txt.gz", "class": [ "data.frame" ], "fields": [ "age", "hvlt", "ept" ], "rows": 45, "table": true, "tojson": true }, { "name": "ex2", "title": "Example data set 2", "object": "ex2", "file": "ex2.txt.gz", "class": [ "data.frame" ], "fields": [ "edu", "gender", "ws1", "ls1", "lt1" ], "rows": 1114, "table": true, "tojson": true }, { "name": "ex3", "title": "Example data set 3", "object": "ex3", "file": "ex3.txt.gz", "class": [ "data.frame" ], "fields": [ "X1", "X2", "X3", "X4", "X5", "X6", "Y7", "Y8", "Y9", "Y10", "Y11", "Y12" ], "rows": 500, "table": true, "tojson": true } ], "_help": [ { "page": "RAMpath-package", "title": "RAMpath for SEM analysis", "topics": [ "RAMpath-package", "RAMpath" ] }, { "page": "ex1", "title": "Example data set 1", "topics": [ "ex1" ] }, { "page": "ex2", "title": "Example data set 2", "topics": [ "ex2" ] }, { "page": "ex3", "title": "Example data set 3", "topics": [ "ex3" ] }, { "page": "isNumeric", "title": "Is the input a numeric variable", "topics": [ "isNumeric" ] }, { "page": "lavaan2ram", "title": "Convert lavaan output to RAM matrices", "topics": [ "lavaan2ram" ] }, { "page": "makeBridgeList", "title": "Generate all bridges", "topics": [ "makeBridgeList" ] }, { "page": "makePathList", "title": "Make a list of effects", "topics": [ "makePathList" ] }, { "page": "makeSpanList", "title": "Make a list of spans", "topics": [ "makeSpanList" ] }, { "page": "plot.lcs.power", "title": "Plot the power curve for each specified parameter", "topics": [ "plot.lcs.power" ] }, { "page": "plot.RAMpath", "title": "Plot the path diagram according to RAM path and bridges or Plot the vector field for the bivariate latent change score model", "topics": [ "plot", "plot.blcs", "plot.RAMpath" ] }, { "page": "powerBLCS", "title": "Power analysis for bivariate latent change score models", "topics": [ "powerBLCS" ] }, { "page": "powerLCS", "title": "Power analysis for univariate latent change score models", "topics": [ "powerLCS" ] }, { "page": "ram2lavaan", "title": "RAM model to lavaan model", "topics": [ "ram2lavaan" ] }, { "page": "ramBLCS", "title": "Conduct bivariate latent change score analysis", "topics": [ "ramBLCS" ] }, { "page": "ramEffectSE", "title": "Sobel standard error for a given effect", "topics": [ "ramEffectSE" ] }, { "page": "ramFit", "title": "Fit a model using lavaan based on ram input", "topics": [ "ramFit" ] }, { "page": "ramFlip", "title": "Flip the ram path", "topics": [ "ramFlip" ] }, { "page": "ramIndex", "title": "To be added", "topics": [ "ramIndex" ] }, { "page": "ramLCM", "title": "Conduct growth curve analysis", "topics": [ "ramLCM" ] }, { "page": "ramLCS", "title": "Univariate latent change score model", "topics": [ "ramLCS" ] }, { "page": "ramMatrix", "title": "Generate ram matrices based on ram input", "topics": [ "ramMatrix" ] }, { "page": "ramParseLavaan", "title": "lavaan to ram", "topics": [ "ramParseLavaan" ] }, { "page": "ramPathBridge", "title": "Generate path and bridges", "topics": [ "ramPathBridge" ] }, { "page": "ramReFit", "title": "Refit a model with additional paths", "topics": [ "ramReFit" ] }, { "page": "ramRmOne", "title": "Internal function", "topics": [ "ramRmOne" ] }, { "page": "ramShowModel", "title": "Show the model using Lavvan model syntax", "topics": [ "ramShowModel" ] }, { "page": "ramUniquePath", "title": "Get the uniques paths", "topics": [ "ramUniquePath" ] }, { "page": "ramVF", "title": "Generate a vector field plot based on the bivariate lcsm", "topics": [ "ramVF" ] }, { "page": "summary.RAMpath", "title": "Calculate the total and individual contribution for each path and bridge", "topics": [ "summary", "summary.RAMpath" ] } ], "_rundeps": [ "ellipse", "lavaan", "MASS", "mnormt", "numDeriv", "pbivnorm", "quadprog" ], "_score": 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