{ "_id": "6ae649539ceaa78f20098ba3", "Package": "kits", "Title": "Psychometric Tools for the Kids in Taiwan Developmental Scale", "Version": "0.25.2", "Date": "2026-10-30", "Authors@R": "person(\"Jie-Wen\", \"Tsai\", email = \"tsai.jiewen@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Tools for the developmental scale of KIT (Kids in Taiwan:\nNational Longitudinal Study of Child Development and Care).\nEach model is written once and 'RTMB' gives every derivative\n(the conditional maximum likelihood, the person scores, the\nthreshold standard errors, the norms); the closed-form steps\nuse base R, and the data are handled with 'dplyr', 'tidyr' and\n'purrr'. Items are calibrated with the partial credit model\n(Masters, 1982) by conditional maximum\nlikelihood, written as the elementary symmetric functions of\nthe step parameters. Cohorts are linked by mean/sigma (Marco,\n1977) on the\nThurstonian thresholds, and anchor items link to the D score of\nthe Global Scales for Early Development (Weber et al., 2019)\n. Person scores are weighted\nlikelihood estimates (Warm, 1989) ; for\nthe partial credit model they equal the Jeffreys modal\nestimates (Firth, 1993) (Magis,\n2015) , which are computed by\nthe Newton method of 'RTMB', one per item set and raw score.\nNorms are continuous sinh-arcsinh norms (Jones and Pewsey,\n2009) fitted by maximum likelihood\nwith the polynomial model and bounds of 'cNORM' (Lenhard and\nLenhard, 2021) , minimised by\nnlminb with the gradient and Hessian of 'RTMB'. Differential\nitem functioning combines the likelihood-ratio test of Andersen\n(1973) with the item-pair test of\nBechger and Maris (2015) ,\ncomputed by CML in each group. The linking error at each score\nand through a chain of links, the statistics of the waves as a\nvertical scale, the precision of each form across the scale,\nand IRT true-score and observed-score equating of raw scores\nfollow Kolen and Brennan (2014)\n. The plots are drawn with\n'plotly'. The algorithms are also exported as plain functions\n(the 'algo_' layer) that chain with the pipe, and\nkits_algorithm() names the steps, formulas and references\nbehind a result; teaching scripts in 'inst/scripts' recompute\nthe estimates with 'RTMB' on the demo data. The companion\npackage 'kitsPreview' computes the same results with 'dexter'\nand 'cNORM' for validation.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "LazyDataCompression": "xz", "Language": "en-US", "VignetteBuilder": "quarto", "Config/testthat/edition": "3", "Roxygen": "list(markdown = TRUE)", "Config/roxygen2/version": "8.1.0", "Collate": "'ability.R' 'algo.R' 'algorithm.R' 'anchors.R'\n'as_data_frame.R' 'calibrate.R' 'cml.R' 'conditions.R' 'data.R'\n'diagnostics.R' 'dif.R' 'drift.R' 'esf.R' 'fit.R' 'info.R'\n'item_map.R' 'item_table.R' 'items.R' 'kits-package.R' 'kits.R'\n'labels.R' 'line.R' 'link.R' 'link_check.R' 'link_se.R'\n'link_steps.R' 'methods.R' 'norms.R' 'norms_screen.R'\n'norms_shash.R' 'norms_steps.R' 'pcm_core.R' 'style.R'\n'plots.R' 'plots_results.R' 'precision.R' 'print.R' 'resp.R'\n'restscore.R' 'scale.R' 'score.R' 'simulate.R' 'stats.R'\n'utils.R' 'vctrs.R' 'vertical.R'", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://jiewentsai.r-universe.dev", "Date/Publication": "2026-10-29 20:27:55 UTC", "RemoteUrl": "https://github.com/jiewenTsai/kits", "RemoteRef": "HEAD", "RemoteSha": "6df7a02b86825155a034e830f93d8623d20b0d5f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-31 18:56:37 UTC", "User": "root" }, "Author": "Jie-Wen Tsai [aut, cre]", "Maintainer": "Jie-Wen Tsai ", "_user": "jiewentsai", "_type": "src", "_file": "kits_0.25.2.tar.gz", "_fileid": "https://r2.ropensci.org/f1a70ceaba790b7655679d6a2ba7bc0f0772555a0c33a5bfdcca8fba2157650b", "_filesize": 1321889, "_sha256": "f1a70ceaba790b7655679d6a2ba7bc0f0772555a0c33a5bfdcca8fba2157650b", "_expires": "2027-02-08T19:12:56.000Z", "_created": "2026-10-31T18:56:37.000Z", "_published": "2026-10-31T20:02:27.906Z", "_upstream": "https://github.com/jiewenTsai/kits", "_status": "success", "_maintainer": { "name": "Jie-Wen Tsai", "email": "tsai.jiewen@gmail.com", "login": "jiewentsai", "description": "", "uuid": 44721885 }, "_jobs": [ { "job": 124640616709, "time": 544, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13054720301" }, { "job": 124640615535, "time": 427, "config": "linux-release-x86_64", "r": "4.6.1", "check": "ERROR", "artifact": "13055567718" }, { "job": 124640615356, "time": 485, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "ERROR", "artifact": "13055906563" }, { "job": 124640615456, "time": 524, "config": "macos-release-arm64", "r": "4.6.2", "check": "ERROR", "artifact": "13056032388" }, { "job": 124640616341, "time": 258, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "13053379654" }, { "job": 124640616558, "time": 131, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "13053338668" }, { "job": 124640615345, "time": 551, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "13055422126" }, { "job": 124640615580, "time": 549, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "ERROR", 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"Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "htmlwidgets", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "purrr", "version": ">= 1.0.0", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "tidyr", "version": ">= 1.3.0", "role": "Imports" }, { "package": "tools", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "vctrs", "version": ">= 0.6.0", "role": "Imports" }, { "package": "cNORM", "role": "Suggests" }, { "package": "dexter", "role": "Suggests" }, { "package": "kitsPreview", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "quarto", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "webshot2", "role": "Suggests" } ], "_owner": "jiewentsai", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2026-44", "n": 3 } ], "_tags": [ { "name": 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"algo_thresholds", "kits", "kits_algorithm", "kits_anchors", "kits_check", "kits_cml", "kits_convert", "kits_dif", "kits_dif_combine", "kits_drift", "kits_esf", "kits_expected_score", "kits_info", "kits_information", "kits_item", "kits_item_restscore", "kits_item_table", "kits_itemfit", "kits_link_check", "kits_link_error", "kits_link_line", "kits_link_points", "kits_link_screen", "kits_linking", "kits_norm_ages", "kits_norm_data", "kits_norm_fit", "kits_norm_screen", "kits_norm_table", "kits_norm_z", "kits_norms", "kits_pcm_prob", "kits_precision", "kits_resp", "kits_save_plot", "kits_sim", "kits_stats", "kits_subj", "kits_subj_table", "kits_thresholds", "kits_vertical", "NORM_PCT" ], "_datasets": [ { "name": "kitm03", "title": "Simulated KIT data for teaching", "object": "kitm03", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "kitm36", "title": "Simulated KIT data for teaching", "object": "kitm36", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "AGE_TICKS", "title": "Age ticks for plots", "topics": [ "AGE_TICKS" ] }, { "page": "algo_cml", "title": "Conditional maximum likelihood of the PCM", "concept": [ "algo" ], "topics": [ "algo_cml" ] }, { "page": "algo_esf", "title": "Elementary symmetric functions and the conditional item-score distributions", "concept": [ "algo" ], "topics": [ "algo_esf" ] }, { "page": "algo_jme", "title": "Jeffreys modal estimates of ability and their SEs", "concept": [ "algo" ], "topics": [ "algo_jme" ] }, { "page": "algo_line", "title": "Apply, invert or compose straight lines", "concept": [ "algo" ], "topics": [ "algo_line" ] }, { "page": "algo_link_error", "title": "The linking error by resampling whole items", "concept": [ "algo" ], "topics": [ "algo_link_error" ] }, { "page": "algo_lw", "title": "The raw-score distribution given theta (Lord-Wingersky)", "concept": [ "algo" ], "topics": [ "algo_lw" ] }, { "page": "algo_mean_sigma", "title": "The mean/sigma line", "concept": [ "algo" ], "topics": [ "algo_mean_sigma" ] }, { "page": "algo_pcm", "title": "PCM category probabilities and moments of one item", "concept": [ "algo" ], "topics": [ "algo_pcm" ] }, { "page": "algo_screen", "title": "One round of screening of the link points", "concept": [ "algo" ], "topics": [ "algo_screen" ] }, { "page": "algo_shash", "title": "A shash norm model by maximum likelihood", "concept": [ "algo" ], "topics": [ "algo_shash" ] }, { "page": "algo_shash_z", "title": "Same-age z-scores under a shash norm model", "concept": [ "algo" ], "topics": [ "algo_shash_z" ] }, { "page": "algo_thresholds", "title": "Thurstonian thresholds of the steps and their SEs", "concept": [ "algo" ], "topics": [ "algo_thresholds" ] }, { "page": "as.data.frame.kits", "title": "One-row summaries of kits results, ready to stack", "topics": [ "as.data.frame.kits", "as.data.frame.kits_drift", "as.data.frame.kits_info", "as.data.frame.kits_item", "as.data.frame.kits_link", "as.data.frame.kits_link_check", "as.data.frame.kits_norm_fit", "as.data.frame.kits_norm_screen", "as.data.frame.kits_stats" ] }, { "page": "kitm03", "title": "Simulated KIT data for teaching", "topics": [ "kitm03", "kitm36" ] }, { "page": "kits", "title": "Calibrate and score in one step", "topics": [ "kits", "plot.kits", "print.kits" ] }, { "page": "kits_algorithm", "title": "The algorithm behind a result", "topics": [ "kits_algorithm" ] }, { "page": "kits_anchors", "title": "The anchor items of the link to D (GSED), for one dscore key", "topics": [ "kits_anchors" ] }, { "page": "kits_check", "title": "Diagnostics of one or more results", "topics": [ "kits_check" ] }, { "page": "kits_convert", "title": "Convert scores or thresholds with one or more links", "topics": [ "kits_convert" ] }, { "page": "kits_dif", "title": "Differences between groups: LR test and item DIF", "topics": [ "kits_dif", "plot.kits_dif", "print.kits_dif", "print.kits_dif_summary", "summary.kits_dif" ] }, { "page": "kits_dif_combine", "title": "Combined DIF decision over two cohorts", "topics": [ "kits_dif_combine" ] }, { "page": "kits_drift", "title": "Item drift: do the items behave the same in a new wave of data?", "topics": [ "kits_drift", "plot.kits_drift", "print.kits_drift" ] }, { "page": "kits_esf", "title": "Elementary symmetric functions of CML and the conditional item-score distributions", "topics": [ "as.data.frame.kits_esf", "kits_esf", "plot.kits_esf", "print.kits_esf" ] }, { "page": "kits_info", "title": "Provenance of a result", "topics": [ "kits_info", "print.kits_info" ] }, { "page": "kits_information", "title": "Test information and expected score as functions of theta", "topics": [ "kits_expected_score", "kits_expected_score.default", "kits_expected_score.kits", "kits_expected_score.kits_fit", "kits_expected_score.kits_item", "kits_information", "kits_information.default", "kits_information.kits", "kits_information.kits_fit", "kits_information.kits_item", "print.kits_expected_score", "print.kits_information" ] }, { "page": "kits_item", "title": "Item calibration: the PCM by CML in RTMB, plus the threshold of every step", "topics": [ "coef.kits_item", "kits_item", "plot.kits_item", "print.kits_item" ] }, { "page": "kits_item_restscore", "title": "Item-restscore association: observed against expected gamma", "topics": [ "kits_item_restscore", "plot.kits_item_restscore", "print.kits_item_restscore" ] }, { "page": "kits_item_steps", "title": "The calibration step by step: counts, CML, thresholds", "topics": [ "kits_cml", "kits_item_steps", "kits_stats", "kits_thresholds", "print.kits_stats" ] }, { "page": "kits_item_table", "title": "Item table: each item with its D, ages, DIF and stem, for the report plots", "topics": [ "kits_item_table", "plot.kits_item_table" ] }, { "page": "kits_itemfit", "title": "Item fit: infit and outfit mean squares, and the item-rest correlation", "topics": [ "kits_itemfit", "plot.kits_itemfit" ] }, { "page": "kits_link_check", "title": "Independent checks of a link between two calibrations", "topics": [ "kits_link_check", "print.kits_link_check" ] }, { "page": "kits_link_steps", "title": "A link step by step: points, screening, line, linking error", "topics": [ "kits_link_error", "kits_link_line", "kits_link_points", "kits_link_screen", "kits_link_steps" ] }, { "page": "kits_linking", "title": "Link two scales: between two calibrations, or to D through anchor items", "topics": [ "kits_linking" ] }, { "page": "kits_methods", "title": "Confidence intervals, covariances and other base methods for kits results", "topics": [ "confint.kits_dif", "confint.kits_item", "confint.kits_link", "kits_methods", "logLik.kits_item", "logLik.kits_norms", "nobs.kits_item", "nobs.kits_norms", "simulate.kits_item", "update.kits_item", "update.kits_norms", "vcov.kits_item" ] }, { "page": "kits_norm_ages", "title": "Age range of the norms", "topics": [ "kits_norm_ages" ] }, { "page": "kits_norm_screen", "title": "Screening waves before fitting norms: waves with scores piled at the floor", "topics": [ "kits_norm_screen", "plot.kits_norm_screen" ] }, { "page": "kits_norm_steps", "title": "A norm step by step: data, fit, table", "topics": [ "kits_norm_data", "kits_norm_fit", "kits_norm_steps", "kits_norm_table", "print.kits_norm_data", "print.kits_norm_fit" ] }, { "page": "kits_norm_z", "title": "Same-age z-score", "topics": [ "kits_norm_z", "kits_norm_z.default", "kits_norm_z.kits_subj" ] }, { "page": "kits_norms", "title": "Fit a continuous norm (shash by maximum likelihood in RTMB)", "topics": [ "kits_norms", "kits_norms.default", "kits_norms.kits_subj", "print.kits_norms" ] }, { "page": "kits_pcm_prob", "title": "PCM category probabilities, expected scores and information given theta", "topics": [ "as.data.frame.kits_pcm_prob", "kits_pcm_prob", "plot.kits_pcm_prob", "print.kits_pcm_prob" ] }, { "page": "kits_precision", "title": "Precision of each form across the scale", "topics": [ "kits_precision", "plot.kits_precision", "print.kits_precision" ] }, { "page": "kits_resp", "title": "Responses with the information of each child", "topics": [ "kits_resp", "plot.kits_resp", "print.kits_resp", "summary.kits_resp" ] }, { "page": "kits_save_plot", "title": "Save a plot: interactive html and static png", "topics": [ "kits_save_plot" ] }, { "page": "kits_sim", "title": "Simulate PCM responses", "topics": [ "kits_sim" ] }, { "page": "kits_subj", "title": "Person abilities (WLE) that can always be computed", "topics": [ "kits_subj", "print.kits_subj" ] }, { "page": "kits_subj_table", "title": "Raw-score to ability table", "topics": [ "kits_subj_table", "print.kits_pattern_table", "print.kits_subj_table" ] }, { "page": "kits_vertical", "title": "Statistics of a vertical scale: growth, variability and separation by wave", "topics": [ "kits_vertical", "plot.kits_vertical", "print.kits_vertical" ] }, { "page": "NORM_PCT", "title": "Default percentiles of the norms", "topics": [ "NORM_PCT" ] }, { "page": "plot.kits_norms", "title": "Plot a continuous norm: percentile curves, one norm or by group", "topics": [ "plot.kits_norms" ] }, { "page": "print.kits_link", "title": "Print or plot a link", "topics": [ "coef.kits_link", "plot.kits_link", "print.kits_link" ] }, { "page": "print.kits_norm_screen", "title": "Print a norm screen", "topics": [ "print.kits_norm_screen" ] }, { "page": "print.kits_table", "title": "Print a kits table", "topics": [ "print.kits_itemfit", "print.kits_table", "rbind.kits_subj", "rbind.kits_table", "[.kits_table" ] }, { "page": "summary.kits", "title": "Summary of a kits result: a short print and the diagnostics", "topics": [ "print.kits_summary", "summary.kits", "summary.kits_drift", "summary.kits_item", "summary.kits_link", "summary.kits_link_check", "summary.kits_norm_screen", "summary.kits_table" ] } ], "_readme": "https://github.com/jiewenTsai/kits/raw/HEAD/README.md", "_rundeps": [ "askpass", "base64enc", "bslib", "cachem", "cli", 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