{ "_id": "6a4788c36527f6f71fa0d17f", "Package": "modsem", "Type": "Package", "Title": "Latent Interaction (and Moderation) Analysis in Structural\nEquation Models (SEM)", "Version": "1.0.21", "Authors@R": "c(person(given = \"Kjell\", family = \"Solem Slupphaug\",\nemail = \"slupphaugkjell@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0005-8324-2834\")),\nperson(given = \"Mehmet\", family=\"Mehmetoglu\",\nemail = \"mehmetm@ntnu.no\", role=c(\"ctb\"),\ncomment = c(ORCID=\"0000-0002-6092-8551\")),\nperson(given = \"Matthias\", family=\"Mittner\",\nemail = \"matthias.mittner@uit.no\", role=c(\"ctb\"),\ncomment = c(ORCID=\"0000-0003-0205-7353\")))", "Maintainer": "Kjell Solem Slupphaug ", "Description": "Estimation of interaction (i.e., moderation) effects\nbetween latent variables in structural equation models (SEM).\nThe supported methods are: The constrained approach (Algina &\nMoulder, 2001). The unconstrained approach (Marsh et al.,\n2004). The residual centering approach (Little et al., 2006).\nThe double centering approach (Lin et al., 2010). The latent\nmoderated structural equations (LMS) approach (Klein &\nMoosbrugger, 2000). The quasi-maximum likelihood (QML) approach\n(Klein & Muthén, 2007) The constrained- unconstrained,\nresidual- and double centering- approaches are estimated via\n'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches\nare estimated via 'modsem' it self. Alternatively model can be\nestimated via 'Mplus' (Muthén & Muthén, 1998-2017). References:\nAlgina, J., & Moulder, B. C. (2001).\n. \"A note on estimating the\nJöreskog-Yang model for latent variable interaction using\n'LISREL' 8.3.\" Klein, A., & Moosbrugger, H. (2000).\n. \"Maximum likelihood estimation of\nlatent interaction effects with the LMS method.\" Klein, A. G.,\n& Muthén, B. O. (2007). .\n\"Quasi-maximum likelihood estimation of structural equation\nmodels with multiple interaction and quadratic effects.\" Lin,\nG. C., Wen, Z., Marsh, H. W., & Lin, H. S. (2010).\n. \"Structural equation models\nof latent interactions: Clarification of orthogonalizing and\ndouble-mean-centering strategies.\" Little, T. D., Bovaird, J.\nA., & Widaman, K. F. (2006). .\n\"On the merits of orthogonalizing powered and product terms:\nImplications for modeling interactions among latent variables.\"\nMarsh, H. W., Wen, Z., & Hau, K. T. (2004).\n. \"Structural equation models of\nlatent interactions: evaluation of alternative estimation\nstrategies and indicator construction.\" Muthén, L.K. and\nMuthén, B.O. (1998-2017). \"'Mplus' User’s Guide. Eighth\nEdition.\" . Rosseel Y (2012).\n. \"'lavaan': An R Package for\nStructural Equation Modeling.\"", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "URL": "https://modsem.org, https://github.com/kss2k/modsem", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://kss2k.r-universe.dev", "Date/Publication": "2026-07-01 12:45:55 UTC", "RemoteUrl": "https://github.com/kss2k/modsem", "RemoteRef": "HEAD", "RemoteSha": "bec8deb7cc6bae522f74fafad925e390ee66798d", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-07-01 15:28:34 UTC", "User": "root" }, "Author": "Kjell Solem Slupphaug [aut, cre] (ORCID:\n),\nMehmet Mehmetoglu [ctb] (ORCID:\n),\nMatthias Mittner [ctb] (ORCID: )", "_user": "kss2k", "_type": "src", "_file": "modsem_1.0.21.tar.gz", "_fileid": "https://r2.ropensci.org/02d7a1d289fd78922e09e532ce52b2e8c8111d38b2c19e129bb24a73dd12e6ee", 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"https://github.com/kss2k/modsem", "_commit": { "id": "bec8deb7cc6bae522f74fafad925e390ee66798d", "author": "Kjell S Slupphaug ", "committer": "GitHub ", "message": "Merge pull request #175 from Kss2k/mplus-lower-case\n\nDon't mix upper and lower case in generated mplus .inp, .out and .dat files", "time": 1782909955 }, "_maintainer": { "name": "Kjell Solem Slupphaug", "email": "slupphaugkjell@gmail.com", "login": "kss2k", "uuid": 113430607 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "Rcpp", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "lavaan", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "nlme", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "mvnfast", 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"standardized_estimates", "summarize_partable", "trace_path", "twostep", "var_interactions" ], "_datasets": [ { "name": "jordan", "title": "Jordan subset of PISA 2006 data", "object": "jordan", "class": [ "data.frame" ], "fields": [ "enjoy1", "enjoy2", "enjoy3", "enjoy4", "enjoy5", "academic1", "academic2", "academic3", "academic4", "academic5", "academic6", "career1", "career2", "career3", "career4" ], "rows": 6038, "table": true, "tojson": true }, { "name": "oneInt", "title": "oneInt", "object": "oneInt", "class": [ "data.frame" ], "fields": [ "x1", "x2", "x3", "y1", "y2", "y3", "z1", "z2", "z3" ], "rows": 2000, "table": true, "tojson": true }, { "name": "TPB", "title": "TPB", "object": "TPB", "class": [ "data.frame" ], "fields": [ "att1", "att2", "att3", "att4", "att5", "sn1", "sn2", "pbc1", "pbc2", "pbc3", "int1", "int2", "int3", "b1", "b2" ], "rows": 2000, "table": true, "tojson": true }, { "name": "TPB_1SO", "title": "TPB_1SO", "object": "TPB_1SO", "class": [ "data.frame" ], "fields": [ "att1", "att2", "att3", "att4", "att5", "sn1", "sn2", "sn3", "pbc1", "pbc2", "pbc3", "int1", "int2", "int3", "b1", "b2" ], "rows": 2000, "table": true, "tojson": true }, { "name": "TPB_2SO", "title": "TPB_2SO", "object": "TPB_2SO", "class": [ "data.frame" ], "fields": [ "att1", "att2", "att3", "sn1", "sn2", "sn3", "pb1", "pb2", "pb3", "pc1", "pc2", "pc3", "b1", "b2" ], "rows": 2000, "table": true, "tojson": true }, { "name": "TPB_UK", "title": "TPB_UK", "object": "TPB_UK", "class": [ "data.frame" ], "fields": [ "att1", "att2", "att3", "att4", "beh1", "beh2", "beh3", "beh4", "int1", "int2", "int3", "int4", "pbc1", "pbc2", "pbc3", "pbc4", "sn1", "sn2", "sn3", "sn4" ], "rows": 1169, "table": true, "tojson": true } ], "_help": [ { "page": "bootstrap_modsem", "title": "Bootstrap a modsem Model", "topics": [ "bootstrap_modsem", "bootstrap_modsem.function", "bootstrap_modsem.modsem_da", "bootstrap_modsem.modsem_pi" ] }, { "page": "centered_estimates", "title": "Get Centered Interaction Term Estimates", "topics": [ "centered_estimates", "centered_estimates.lavaan", "centered_estimates.modsem_da" ] }, { "page": "colorize_output", "title": "Capture, colorise, and emit console text", "topics": [ "colorize_output" ] }, { "page": "compare_fit", "title": "compare model fit for 'modsem' models", "topics": [ "compare_fit" ] }, { "page": "default_settings_da", "title": "default arguments fro LMS and QML approach", "topics": [ "default_settings_da" ] }, { "page": "default_settings_pi", "title": "default arguments for product indicator approaches", "topics": [ "default_settings_pi" ] }, { "page": "estimate_h0", "title": "Estimate baseline model for 'modsem' models", "topics": [ "estimate_h0", "estimate_h0.modsem_da", "estimate_h0.modsem_pi" ] }, { "page": "extract_lavaan", "title": "extract lavaan object from modsem object estimated using product indicators", "topics": [ "extract_lavaan" ] }, { "page": "fit_modsem_da", "title": "Fit measures for QML and LMS models", "topics": [ "fit_modsem_da" ] }, { "page": "get_pi_data", "title": "Get data with product indicators for different approaches", "topics": [ "get_pi_data" ] }, { "page": "get_pi_syntax", "title": "Get 'lavaan' syntax for product indicator approaches", "topics": [ "get_pi_syntax" ] }, { "page": "is_interaction_model", "title": "Check if model object has interaction terms", "topics": [ "is_interaction_model" ] }, { "page": "jordan", "title": "Jordan subset of PISA 2006 data", "topics": [ "jordan" ] }, { "page": "modsem", "title": "Estimate interaction effects in structural equation models (SEMs)", "topics": [ "modsem" ] }, { "page": "modsem_coef", "title": "Wrapper for coef", "topics": [ "modsem_coef" ] }, { "page": "modsem_da", "title": "Interaction between latent variables using LMS and QML approaches", "topics": [ "modsem_da" ] }, { "page": "modsem_inspect", "title": "Inspect model information", "topics": [ "modsem_inspect", "modsem_inspect.lavaan", "modsem_inspect.modsem_da", "modsem_inspect.modsem_pi" ] }, { "page": "modsem_mimpute", "title": "Estimate a 'modsem' model using multiple imputation", "topics": [ "modsem_mimpute" ] }, { "page": "modsem_mplus", "title": "Estimation latent interactions through 'Mplus'", "topics": [ "modsem_mplus" ] }, { "page": "modsem_nobs", "title": "Wrapper for nobs", "topics": [ "modsem_nobs" ] }, { "page": "modsem_pi", "title": "Interaction between latent variables using product indicators", "topics": [ "modsem_pi" ] }, { "page": "modsem_predict", "title": "Predict From 'modsem' Models", "topics": [ "modsem_predict", "modsem_predict.modsem_da", "modsem_predict.modsem_pi" ] }, { "page": "modsem_vcov", "title": "Wrapper for vcov", "topics": [ "modsem_vcov" ] }, { "page": "modsemify", "title": "Generate parameter table for 'lavaan' syntax", "topics": [ "modsemify" ] }, { "page": "oneInt", "title": "oneInt", "topics": [ "oneInt" ] }, { "page": "parameter_estimates", "title": "Extract parameterEstimates from an estimated model", "topics": [ "parameter_estimates", "parameter_estimates.lavaan", "parameter_estimates.modsem_da", "parameter_estimates.modsem_mplus", "parameter_estimates.modsem_pi" ] }, { "page": "plot_interaction", "title": "Plot Interaction Effects in a SEM Model", "topics": [ "plot_interaction" ] }, { "page": "plot_jn", "title": "Plot Interaction Effect Using the Johnson-Neyman Technique", "topics": [ "plot_jn" ] }, { "page": "plot_surface", "title": "Plot Surface for Interaction Effects", "topics": [ "plot_surface" ] }, { "page": "relcorr_single_item", "title": "Reliability‑Corrected Single‑Item SEM", "topics": [ "relcorr_single_item" ] }, { "page": "set_modsem_colors", "title": "Define or disable the color theme used by 'modsem'", "topics": [ "set_modsem_colors" ] }, { "page": "simple_slopes", "title": "Get the simple slopes of a SEM model", "topics": [ "simple_slopes" ] }, { "page": "standardize_model", "title": "Standardize a fitted 'modsem_da' model", "topics": [ "standardize_model" ] }, { 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