{
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  "Package": "cmstatr",
  "Type": "Package",
  "Title": "Statistical Methods for Composite Material Data",
  "Version": "0.10.0",
  "Date": "2024-11-18",
  "Authors@R": "c(\nperson(\"Stefan\", \"Kloppenborg\", email = \"stefan@kloppenborg.ca\",\ncomment = c(ORCID = \"0000-0002-1908-5214\"),\nrole = c(\"aut\", \"cre\")),\nperson(\"Billy\", \"Cheng\", email = \"bcheng@comtekadvanced.com\",\nrole = c(\"ctb\")),\nperson(\"Ally\", \"Fraser\", email = \"ally.fraser25@gmail.com\",\nrole = c(\"ctb\")),\nperson(\"Jeffrey\", \"Borlik\",\nrole = c(\"ctb\")),\nperson(\"Brice\", \"Langston\", email = \"tblangst@gmail.com\",\nrole = c(\"ctb\")),\nperson(\"Comtek Advanced Structures, Ltd.\",\nrole = c(\"fnd\"))\n)",
  "Description": "An implementation of the statistical methods commonly used\nfor advanced composite materials in aerospace applications.\nThis package focuses on calculating basis values (lower\ntolerance bounds) for material strength properties, as well as\nperforming the associated diagnostic tests. This package\nprovides functions for calculating basis values assuming\nseveral different distributions, as well as providing functions\nfor non-parametric methods of computing basis values. Functions\nare also provided for testing the hypothesis that there is no\ndifference between strength and modulus data from an alternate\nsample and that from a \"qualification\" or \"baseline\" sample.\nFor a discussion of these statistical methods and their use,\nsee the Composite Materials Handbook, Volume 1 (2012, ISBN:\n978-0-7680-7811-4). Additional details about this package are\navailable in the paper by Kloppenborg (2020,\n<doi:10.21105/joss.02265>).",
  "URL": "https://www.cmstatr.net/, https://github.com/cmstatr/cmstatr",
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  "Repository": "https://cmstatr.r-universe.dev",
  "Date/Publication": "2025-03-19 02:40:08 UTC",
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  "Packaged": {
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    "User": "root"
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  "Author": "Stefan Kloppenborg [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-1908-5214>),\nBilly Cheng [ctb],\nAlly Fraser [ctb],\nJeffrey Borlik [ctb],\nBrice Langston [ctb],\nComtek Advanced Structures, Ltd. [fnd]",
  "Maintainer": "Stefan Kloppenborg <stefan@kloppenborg.ca>",
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  "_created": "2026-05-11T07:39:12.000Z",
  "_published": "2026-05-22T11:45:01.933Z",
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  "_updates": [],
  "_tags": [],
  "_topics": [
    "composite-material-data",
    "data",
    "materials-science",
    "statistical-analysis",
    "statistics"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/cmstatr.html",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
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  "_homeurl": "https://github.com/cmstatr/cmstatr",
  "_realowner": "cmstatr",
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  "_releases": [
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      "date": "2020-07-13"
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      "version": "0.7.1",
      "date": "2020-12-10"
    },
    {
      "version": "0.8.0",
      "date": "2021-02-24"
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  "_exports": [
    "ad_ksample",
    "anderson_darling_lognormal",
    "anderson_darling_normal",
    "anderson_darling_weibull",
    "augment",
    "basis_anova",
    "basis_hk_ext",
    "basis_lognormal",
    "basis_nonpara_large_sample",
    "basis_normal",
    "basis_pooled_cv",
    "basis_pooled_sd",
    "basis_weibull",
    "calc_cv_star",
    "condition_summary",
    "cv",
    "equiv_change_mean",
    "equiv_mean_extremum",
    "geom_jitter_failure_mode",
    "glance",
    "hk_ext_z",
    "hk_ext_z_j_opt",
    "k_equiv",
    "k_factor_normal",
    "levene_test",
    "maximum_normed_residual",
    "nested_data_plot",
    "nonpara_binomial_rank",
    "normalize_group_mean",
    "normalize_ply_thickness",
    "separate_failure_modes",
    "stat_esf",
    "stat_normal_surv_func",
    "tidy",
    "transform_mod_cv",
    "transform_mod_cv_ad"
  ],
  "_datasets": [
    {
      "name": "carbon.fabric",
      "title": "Sample data for a generic carbon fabric",
      "object": "carbon.fabric",
      "class": [
        "data.frame"
      ],
      "fields": [
        "id",
        "test",
        "condition",
        "batch",
        "strength"
      ],
      "rows": 216,
      "table": true,
      "tojson": true
    },
    {
      "name": "carbon.fabric.2",
      "title": "Sample data for a generic carbon fabric",
      "object": "carbon.fabric.2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "test",
        "condition",
        "batch",
        "panel",
        "thickness",
        "nplies",
        "strength",
        "modulus",
        "failure_mode"
      ],
      "rows": 177,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ad_ksample",
      "title": "Anderson-Darling K-Sample Test",
      "topics": [
        "ad_ksample"
      ]
    },
    {
      "page": "anderson_darling",
      "title": "Anderson-Darling test for goodness of fit",
      "topics": [
        "anderson_darling",
        "anderson_darling_lognormal",
        "anderson_darling_normal",
        "anderson_darling_weibull"
      ]
    },
    {
      "page": "augment.mnr",
      "title": "Augment data with information from an 'mnr' object",
      "topics": [
        "augment.mnr"
      ]
    },
    {
      "page": "basis",
      "title": "Calculate basis values",
      "topics": [
        "basis",
        "basis_anova",
        "basis_hk_ext",
        "basis_lognormal",
        "basis_nonpara_large_sample",
        "basis_normal",
        "basis_pooled_cv",
        "basis_pooled_sd",
        "basis_weibull"
      ]
    },
    {
      "page": "calc_cv_star",
      "title": "Calculate the modified CV from the CV",
      "topics": [
        "calc_cv_star"
      ]
    },
    {
      "page": "carbon.fabric",
      "title": "Sample data for a generic carbon fabric",
      "topics": [
        "carbon.fabric",
        "carbon.fabric.2"
      ]
    },
    {
      "page": "condition_summary",
      "title": "Produce basis summary statistics for each (environmental) condition",
      "topics": [
        "condition_summary",
        "condition_summary.basis",
        "condition_summary.data.frame"
      ]
    },
    {
      "page": "cv",
      "title": "Calculate the coefficient of variation",
      "topics": [
        "cv"
      ]
    },
    {
      "page": "equiv_change_mean",
      "title": "Equivalency based on change in mean value",
      "topics": [
        "equiv_change_mean"
      ]
    },
    {
      "page": "equiv_mean_extremum",
      "title": "Test for decrease in mean or minimum individual",
      "topics": [
        "equiv_mean_extremum"
      ]
    },
    {
      "page": "geom_jitter_failure_mode",
      "title": "Jittered points showing (possibly multiple) failure modes",
      "topics": [
        "geom_jitter_failure_mode"
      ]
    },
    {
      "page": "glance.adk",
      "title": "Glance at a 'adk' (Anderson-Darling k-Sample) object",
      "topics": [
        "glance.adk"
      ]
    },
    {
      "page": "glance.anderson_darling",
      "title": "Glance at an 'anderson_darling' object",
      "topics": [
        "glance.anderson_darling"
      ]
    },
    {
      "page": "glance.basis",
      "title": "Glance at a basis object",
      "topics": [
        "glance.basis"
      ]
    },
    {
      "page": "glance.equiv_change_mean",
      "title": "Glance at a 'equiv_change_mean' object",
      "topics": [
        "glance.equiv_change_mean"
      ]
    },
    {
      "page": "glance.equiv_mean_extremum",
      "title": "Glance at an 'equiv_mean_extremum' object",
      "topics": [
        "glance.equiv_mean_extremum"
      ]
    },
    {
      "page": "glance.levene",
      "title": "Glance at a 'levene' object",
      "topics": [
        "glance.levene"
      ]
    },
    {
      "page": "glance.mnr",
      "title": "Glance at a 'mnr' (maximum normed residual) object",
      "topics": [
        "glance.mnr"
      ]
    },
    {
      "page": "hk_ext",
      "title": "Calculate values related to Extended Hanson-Koopmans tolerance bounds",
      "topics": [
        "hk_ext",
        "hk_ext_z",
        "hk_ext_z_j_opt"
      ]
    },
    {
      "page": "k_equiv",
      "title": "k-factors for determining acceptance based on sample mean and an extremum",
      "topics": [
        "k_equiv"
      ]
    },
    {
      "page": "k_factor_normal",
      "title": "Calculate k factor for basis values (kB, kA) with normal distribution",
      "topics": [
        "k_factor_normal"
      ]
    },
    {
      "page": "levene_test",
      "title": "Levene's Test (Median) for Equality of Variance",
      "topics": [
        "levene_test"
      ]
    },
    {
      "page": "maximum_normed_residual",
      "title": "Detect outliers using the maximum normed residual method",
      "topics": [
        "maximum_normed_residual"
      ]
    },
    {
      "page": "nested_data_plot",
      "title": "Create a plot of nested sources of variation",
      "topics": [
        "nested_data_plot"
      ]
    },
    {
      "page": "nonpara_binomial_rank",
      "title": "Rank for distribution-free tolerance bound",
      "topics": [
        "nonpara_binomial_rank"
      ]
    },
    {
      "page": "normalize_group_mean",
      "title": "Normalize values to group means",
      "topics": [
        "normalize_group_mean"
      ]
    },
    {
      "page": "normalize_ply_thickness",
      "title": "Normalizes strength values to ply thickness",
      "topics": [
        "normalize_ply_thickness"
      ]
    },
    {
      "page": "separate_failure_modes",
      "title": "Separate multiple failure modes into multiple rows",
      "topics": [
        "separate_failure_modes"
      ]
    },
    {
      "page": "stat_esf",
      "title": "Empirical Survival Function",
      "topics": [
        "stat_esf"
      ]
    },
    {
      "page": "stat_normal_surv_func",
      "title": "Normal Survival Function",
      "topics": [
        "stat_normal_surv_func"
      ]
    },
    {
      "page": "transform_mod_cv",
      "title": "Transforms data according to the modified CV rule",
      "topics": [
        "transform_mod_cv",
        "transform_mod_cv_ad"
      ]
    }
  ],
  "_pkglogo": "https://github.com/cmstatr/cmstatr/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/cmstatr/cmstatr/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "kSamples",
    "labeling",
    "lifecycle",
    "magrittr",
    "MASS",
    "pillar",
    "pkgconfig",
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    "rlang",
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    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
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  "_vignettes": [
    {
      "source": "adktest.Rmd",
      "filename": "adktest.html",
      "title": "Anderson-Darling k-Sample Test",
      "author": "Stefan Kloppenborg, Jeffrey Borlik",
      "engine": "knitr::rmarkdown",
      "headings": [
        "References"
      ],
      "created": "2019-05-19 17:00:13",
      "modified": "2023-09-10 01:41:35",
      "commits": 5
    },
    {
      "source": "cmstatr_Tutorial.Rmd",
      "filename": "cmstatr_Tutorial.html",
      "title": "cmstatr Tutorial",
      "author": "Stefan Kloppenborg",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Input Data",
        "Working With Data",
        "Normalizing Data to Cured Ply Thickness",
        "Calculating Single-Point Basis Value",
        "Calculating Basis Values by Pooling Across Environments",
        "Checking for Outliers",
        "Batch-to-Batch Distribution",
        "Checking for Outliers Within Each Condition",
        "Investigation Conditions",
        "Pooling Across Environments",
        "Equivalency"
      ],
      "created": "2019-07-02 15:10:27",
      "modified": "2024-11-20 04:58:08",
      "commits": 8
    },
    {
      "source": "cmstatr_Validation.Rmd",
      "filename": "cmstatr_Validation.html",
      "title": "cmstatr Validation",
      "author": "Stefan Kloppenborg",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Introduction",
        "2. Validation Table",
        "3. carbon.fabric Data Set",
        "3.1. Anderson--Darling k-Sample Test",
        "4. Comparison with Examples from CMH-17-1G",
        "4.1 Dataset From Section 8.3.11.1.1",
        "4.1.1 Maximum Normed Residual Test",
        "4.1.2 Anderson--Darling k--Sample Test",
        "4.1.3 Anderson--Darling Tests for Distribution",
        "4.1.4 Levene's Test (Between Conditions)",
        "4.1.5 Levene's Test (Between Batches)",
        "4.1.6 Nonparametric Basis Values",
        "4.1.7 Single-Point ANOVA Basis Value",
        "4.2 Dataset From Section 8.3.11.1.2",
        "4.2.1 Pooled SD A- and B-Basis",
        "4.2.2 Pooled SD A- and B-Basis (Mod CV)",
        "4.2.3 Pooled CV A- and B-Basis",
        "4.2.4 Pooled CV A- and B-Basis (Mod CV)",
        "5. Other Data Sets",
        "5.1 Anderson--Darling Test (Normal)",
        "5.2 Anderson--Darling Test (Lognormal)",
        "5.3 Anderson--Darling Test (Weibull)",
        "5.4 Normal A- and B-Basis",
        "5.5 Lognormal A- and B-Basis",
        "5.6 Weibull A- and B-Basis",
        "5.7 Extended Hanson--Koopmans A- and B-Basis",
        "5.8 Extended Hanson--Koopmans B-Basis",
        "5.9 Large Sample Nonparametric B-Basis",
        "5.10 Acceptance Limits Based on Mean and Extremum",
        "5.11 Acceptance Based on Change in Mean",
        "6. Comparison with Literature",
        "6.1 Anderson--Darling K--Sample Test",
        "7. Comparison with Published Factors",
        "7.1 Normal kB Factors",
        "7.2 Normal kA Factors",
        "7.3 Nonparametric B-Basis Extended Hanson--Koopmans",
        "7.4 Nonparametric A-Basis Extended Hanson--Koopmans",
        "7.5 Factors for Small Sample Nonparametric B-Basis",
        "7.6 Nonparametric B-Basis Binomial Rank",
        "7.7 Nonparametric A-Basis Binomial Rank",
        "7.8 Factors for Equivalency",
        "8. Session Info",
        "9. References"
      ],
      "created": "2021-07-01 15:02:04",
      "modified": "2021-07-01 15:02:04",
      "commits": 1
    },
    {
      "source": "hk_ext.Rmd",
      "filename": "hk_ext.html",
      "title": "Extended Hanson-Koopmans",
      "author": "Stefan Kloppenborg",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Simulation with Normally Distributed Data",
        "Simulation with Weibull Data",
        "Conclusion",
        "Session Info",
        "References"
      ],
      "created": "2021-06-26 03:01:35",
      "modified": "2021-09-30 16:52:25",
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