{ "_id": "6a101650acfb0bcc41c84573", "Package": "OLStrajr", "Title": "Ordinary Least Squares Trajectory Analysis", "Version": "0.1.0.9000", "Authors@R": "c(\nperson(\"Mackson\", \"Ncube\", , \"macksonncube.stats@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"mightymetrika, LLC\", role = c(\"cph\", \"fnd\"))\n)", "Description": "The 'OLStrajr' package provides comprehensive functions\nfor ordinary least squares (OLS) trajectory analysis and\ncase-by-case OLS regression as outlined in Carrig, Wirth, and\nCurran (2004) and Rogosa and\nSaner (1995) . It encompasses\ntwo primary functions, OLStraj() and cbc_lm(). The OLStraj()\nfunction simplifies the estimation of individual growth curves\nover time via OLS regression, with options for visualizing both\ngroup-level and individual-level growth trajectories and\nsupport for linear and quadratic models. The cbc_lm() function\nfacilitates case-by-case OLS estimates and provides unbiased\nmean population intercept and slope estimators by averaging OLS\nintercepts and slopes across cases. It further offers standard\nerror calculations across bootstrap replicates and computation\nof 95% confidence intervals based on empirical distributions\nfrom the resampling processes.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "URL": "https://github.com/mightymetrika/OLStrajr", "BugReports": "https://github.com/mightymetrika/OLStrajr/issues", "Config/testthat/edition": "3", "LazyData": "true", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://mightymetrika.r-universe.dev", "Date/Publication": "2023-06-22 15:34:55 UTC", "RemoteUrl": "https://github.com/mightymetrika/olstrajr", "RemoteRef": "HEAD", "RemoteSha": "1883ddfcf255ab4f58f8c249036c1fb375adccd3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 07:19:29 UTC", "User": "root" }, "Author": "Mackson Ncube [aut, cre],\nmightymetrika, LLC [cph, fnd]", "Maintainer": "Mackson Ncube ", "MD5sum": 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