{ "_id": "6a1f2de6b401979e734268e7", "Title": "Scales Score Calculation from Quality of Life Data", "Package": "QoLMiss", "Type": "Package", "Version": "0.1.0", "Date": "2022-01-06", "Description": "There are three functions: qol, miss_qol and miss_patient\ntakes input of the data set containing the answers of QOL\nquestionnaire. It will compute the three types of domain based\nscale scores: Global, Functional, and Symptoms. In case of\nmissing data, the miss_qol and miss_patient functions will make\nthe required changes and then calculate the domain-wise scale\nscores. Finally, provide an output replacing the question\ncolumns with the domain-based scale scores in the original data\nset.", "LazyDataCompression": "xz", "ByteCompile": "Yes", "Authors@R": "c(person((\"Atanu\"), \"Bhattacharjee\",\nemail=\"atanustat@gmail.com\",\nrole=c(\"aut\", \"cre\",\"ctb\")),\nperson((\"Ankita\"), \"Pal\", role=c(\"aut\",\"ctb\")))", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Maintainer": "Atanu Bhattacharjee ", "RoxygenNote": "7.1.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-15 09:36:36 UTC", "User": "root" }, "Author": "Atanu Bhattacharjee [aut, cre, ctb], Ankita Pal [aut, ctb]", "Repository": "https://atanubhattacharjee.r-universe.dev", "Date/Publication": "2022-01-07 12:32:52 UTC", "RemoteUrl": "https://github.com/cran/QoLMiss", "RemoteRef": "HEAD", "RemoteSha": "36bd55fd1cf6132f749d5ec178cae943fee6fe90", "MD5sum": "1977045fbca38400c7a6c7b94e6c1608", "_user": "atanubhattacharjee", "_type": "src", "_file": 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"role": "Depends" }, { "package": "survival", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "missMethods", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [], "_tags": [], "_stars": 0, "_contributors": [ { "user": "atanubhattacharjee", "count": 1, "uuid": 22411298 } ], "_userbio": { "uuid": 22411298, "type": "user", "name": "Atanu Bhattacharjee", "description": "Assistant Professor Biostatistics" }, "_downloads": { "count": 184, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/QoLMiss" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/QoLMiss.html", "manual.pdf" ], "_realowner": "atanubhattacharjee", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2022-01-07" } ], "_exports": [ "brc_qol", "hnc_qol", "lc_qol", 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"data.frame" ], "fields": [ "ID", "time", "event", "arm", "HN_Q31", "HN_Q32", "HN_Q33", "HN_Q34", "HN_Q35", "HN_Q36", "HN_Q37", "HN_Q38", "HN_Q39", "HN_Q40", "HN_Q41", "HN_Q42", "HN_Q43", "HN_Q44", "HN_Q45", "HN_Q46", "HN_Q47", "HN_Q48", "HN_Q49", "HN_Q50", "HN_Q51", "HN_Q52", "HN_Q53", "HN_Q54", "HN_Q55", "HN_Q56", "HN_Q57", "HN_Q58", "HN_Q59", "HN_Q60", "HN_Q61", "HN_Q62", "HN_Q63", "HN_Q64", "HN_Q65" ], "rows": 100, "table": true, "tojson": true }, { "name": "hnc_df_miss", "title": "Head and Neck cancer data for cancer Quality of Life with missing values.", "object": "hnc_df_miss", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "HN_Q31", "HN_Q32", "HN_Q33", "HN_Q34", "HN_Q35", "HN_Q36", "HN_Q37", "HN_Q38", "HN_Q39", "HN_Q40", "HN_Q41", "HN_Q42", "HN_Q43", "HN_Q44", "HN_Q45", "HN_Q46", "HN_Q47", "HN_Q48", "HN_Q49", "HN_Q50", "HN_Q51", "HN_Q52", "HN_Q53", "HN_Q54", "HN_Q55", "HN_Q56", "HN_Q57", "HN_Q58", "HN_Q59", "HN_Q60", "HN_Q61", "HN_Q62", "HN_Q63", "HN_Q64", "HN_Q65" ], "rows": 100, "table": true, "tojson": true }, { "name": "lc_df", "title": "Simulated data for Lung cancer Quality of Life.", "object": "lc_df", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "LC_Q31", "LC_Q32", "LC_Q33", "LC_Q34", "LC_Q35", "LC_Q36", "LC_Q37", "LC_Q38", "LC_Q39", "LC_Q40", "LC_Q41", "LC_Q42" ], "rows": 100, "table": true, "tojson": true }, { "name": "lc_df_miss", "title": "Lung cancer data for cancer Quality of Life with missing values.", "object": "lc_df_miss", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "LC_Q31", "LC_Q32", "LC_Q33", "LC_Q34", "LC_Q35", "LC_Q36", "LC_Q37", "LC_Q38", "LC_Q39", "LC_Q40", "LC_Q41", "LC_Q42" ], "rows": 100, "table": true, "tojson": true }, { "name": "ovc_df", "title": "Simulated data for Ovarian Cancer Quality of Life.", "object": "ovc_df", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "OV_Q31", "OV_Q32", "OV_Q33", "OV_Q34", "OV_Q35", "OV_Q36", "OV_Q37", "OV_Q38", "OV_Q39", "OV_Q40", "OV_Q41", "OV_Q42", "OV_Q43", "OV_Q44", "OV_Q45", "OV_Q46", "OV_Q47", "OV_Q48", "OV_Q49", "OV_Q50", "OV_Q51", "OV_Q52", "OV_Q53", "OV_Q54", "OV_Q55", "OV_Q56", "OV_Q57", "OV_Q58" ], "rows": 100, "table": true, "tojson": true }, { "name": "ovc_df_miss", "title": "Ovarian cancer Quality of Life data with missing values.", "object": "ovc_df_miss", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "OV_Q31", "OV_Q32", "OV_Q33", "OV_Q34", "OV_Q35", "OV_Q36", "OV_Q37", "OV_Q38", "OV_Q39", "OV_Q40", "OV_Q41", "OV_Q42", "OV_Q43", "OV_Q44", "OV_Q45", "OV_Q46", "OV_Q47", "OV_Q48", "OV_Q49", "OV_Q50", "OV_Q51", "OV_Q52", "OV_Q53", "OV_Q54", "OV_Q55", "OV_Q56", "OV_Q57", "OV_Q58" ], "rows": 100, "table": true, "tojson": true }, { "name": "patient_miss", "title": "Cancer Quality of Life data with missing values.", "object": "patient_miss", "class": [ "data.frame" ], "fields": [ "ID", "time", "event", "arm", "Q1", "Q2", "Q3", "Q4", "Q5", "Q6", "Q7", 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"THY_Q33", "THY_Q34", "THY_Q35", "THY_Q36", "THY_Q37", "THY_Q38", "THY_Q39", "THY_Q40", "THY_Q41", "THY_Q42", "THY_Q43", "THY_Q44", "THY_Q45", "THY_Q46", "THY_Q47", "THY_Q48", "THY_Q49", "THY_Q50", "THY_Q51", "THY_Q52", "THY_Q53", "THY_Q54", "THY_Q55", "THY_Q56", "THY_Q57", "THY_Q58", "THY_Q59", "THY_Q60", "THY_Q61", "THY_Q62", "THY_Q63", "THY_Q64" ], "rows": 100, "table": true, "tojson": true } ], "_help": [ { "page": "brc_df", "title": "Breast cancer Quality of Life.", "topics": [ "brc_df" ] }, { "page": "brc_df_miss", "title": "Breast cancer Quality of Life with missing values.", "topics": [ "brc_df_miss" ] }, { "page": "brc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-BR23", "topics": [ "brc_qol" ] }, { "page": "c30_df", "title": "Simulated data for cancer Quality of Life.", "topics": [ "c30_df" ] }, { "page": "c30_df_miss", "title": "Data for cancer Quality of Life with missing values.", "topics": [ "c30_df_miss" ] }, { "page": "hnc_df", "title": "Head and Neck cancer Quality of Life data.", "topics": [ "hnc_df" ] }, { "page": "hnc_df_miss", "title": "Head and Neck cancer data for cancer Quality of Life with missing values.", "topics": [ "hnc_df_miss" ] }, { "page": "hnc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-HN35", "topics": [ "hnc_qol" ] }, { "page": "lc_df", "title": "Simulated data for Lung cancer Quality of Life.", "topics": [ "lc_df" ] }, { "page": "lc_df_miss", "title": "Lung cancer data for cancer Quality of Life with missing values.", "topics": [ "lc_df_miss" ] }, { "page": "lc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-LC13.", "topics": [ "lc_qol" ] }, { "page": "ovc_df", "title": "Simulated data for Ovarian Cancer Quality of Life.", "topics": [ "ovc_df" ] }, { "page": "ovc_df_miss", "title": "Ovarian cancer Quality of Life data with missing values.", "topics": [ "ovc_df_miss" ] }, { "page": "ovc_qol", "title": "Calculates the domain-based scale scores using the data of QLQ-OV28.", "topics": [ "ovc_qol" ] }, { "page": "patient_miss", "title": "Cancer Quality of Life data with missing values.", "topics": [ "patient_miss" ] }, { "page": "qol", "title": "Calculates the domain-based scale scores using the data from Quality of Life questionnaire", "topics": [ "qol" ] }, { "page": "qol_miss", "title": "Cancer Quality of Life data analysis with missing values.", "topics": [ "qol_miss" ] }, { "page": "surv_br23", "title": "Dataset contains survival outcomes and quality of life for breast cancer patients", "topics": [ "surv_br23" ] }, { "page": "surv_c30", "title": "Dataset contains survival outcomes and quality of life for cancer patients", "topics": [ "surv_c30" ] }, { "page": "surv_c30_miss", "title": "Dataset contains survival outcomes and quality of life for cancer patients with missing observation", "topics": [ "surv_c30_miss" ] }, { "page": "surv_hn35", "title": "Dataset contains survival outcomes and quality of life for head and neck cancer patients", "topics": [ "surv_hn35" ] }, { "page": "surv_lc13", "title": "Dataset contains survival outcomes and quality of life for lung cancer patients", "topics": [ "surv_lc13" ] }, { "page": "surv_ov28", "title": "Dataset contains survival outcomes and quality of life for ovarian cancer patients", "topics": [ "surv_ov28" ] }, { "page": "surv_thy34", "title": "Dataset contains survival outcomes and quality of life for thyroid cancer patients", "topics": [ "surv_thy34" ] }, { "page": "thyc_df", "title": "Thyroid cancer Quality of Life.", "topics": [ "thyc_df" ] }, { "page": "thyc_df_miss", "title": "Thyroid cancer Quality of Life data with missing values.", "topics": [ "thyc_df_miss" ] }, { "page": "thyc_qol", "title": "Calculates the domain-based scale scores of Thyroid cancer using the data of QLQ-THY34", "topics": [ "thyc_qol" ] } ], "_rundeps": [ "cli", "dplyr", "generics", "glue", "lattice", "lifecycle", "magrittr", "Matrix", "missMethods", "mvtnorm", 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