{
  "_id": "6aae39723d719c1f84079ac9",
  "Package": "STMr",
  "Title": "Strength Training Manual R-Language Functions",
  "Version": "0.1.7",
  "Authors@R": "person(given = \"Mladen\",\nfamily = \"Jovanović\",\nrole = c(\"aut\", \"cre\"),\nemail = \"coach.mladen.jovanovic@gmail.com\")",
  "Description": "Strength training prescription using percent-based\napproach requires numerous computations and assumptions. 'STMr'\npackage allow users to estimate individual reps-max\nrelationships, implement various progression tables, and create\nnumerous set and rep schemes. The 'STMr' package is originally\ncreated as a tool to help writing Jovanović M. (2020) Strength\nTraining Manual <ISBN:979-8604459898>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "URL": "https://mladenjovanovic.github.io/STMr/",
  "BugReports": "https://github.com/mladenjovanovic/STMr/issues",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "libicu-dev libjpeg-dev libpng-dev libxml2-dev\nlibssl-dev",
  "Repository": "https://mladenjovanovic.r-universe.dev",
  "Date/Publication": "2026-01-21 23:24:33 UTC",
  "RemoteUrl": "https://github.com/mladenjovanovic/stmr",
  "RemoteRef": "HEAD",
  "RemoteSha": "5fbdef5dae9738b728b8e2669f05f00227268c4c",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-19 07:14:57 UTC",
    "User": "root"
  },
  "Author": "Mladen Jovanović [aut, cre]",
  "Maintainer": "Mladen Jovanović <coach.mladen.jovanovic@gmail.com>",
  "_user": "mladenjovanovic",
  "_type": "src",
  "_file": "STMr_0.1.7.tar.gz",
  "_fileid": "https://r2.ropensci.org/a951e26bfeff91979f92743be13148a0ce1a71166b4d5baf2ac1ada71e57c762",
  "_filesize": 3938589,
  "_sha256": "a951e26bfeff91979f92743be13148a0ce1a71166b4d5baf2ac1ada71e57c762",
  "_expires": "2026-12-28T07:27:44.000Z",
  "_created": "2026-09-19T07:14:57.000Z",
  "_published": "2026-09-19T07:27:46.520Z",
  "_jobs": [
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      "job": 105859506837,
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      "config": "linux-devel-x86_64",
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/mladenjovanovic/actions/runs/35428657567",
  "_status": "success",
  "_upstream": "https://github.com/mladenjovanovic/stmr",
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    "author": "Mladen Jovanović <coach.mladen.jovanovic@gmail.com>",
    "committer": "Mladen Jovanović <coach.mladen.jovanovic@gmail.com>",
    "message": "Version 0.1.7\n",
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    "email": "coach.mladen.jovanovic@gmail.com",
    "login": "mladenjovanovic",
    "description": "PhD, Strength and Conditioning Coach, Performance Manage, Data Analyst",
    "uuid": 39139548
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  "_registered": true,
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    },
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    },
    {
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    },
    {
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    },
    {
      "package": "minpack.lm",
      "role": "Imports"
    },
    {
      "package": "nlme",
      "role": "Imports"
    },
    {
      "package": "quantreg",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
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    },
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      "role": "Suggests"
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  "_owner": "mladenjovanovic",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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      "week": "2025-52",
      "n": 4
    },
    {
      "week": "2026-01",
      "n": 1
    },
    {
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  "_tags": [
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  "_stars": 7,
  "_contributors": [
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    "name": "Mladen Jovanović",
    "followers": 136,
    "description": "PhD, Strength and Conditioning Coach, Performance Manage, Data Analyst"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/STMr"
  },
  "_devurl": "https://github.com/mladenjovanovic/stmr",
  "_pkgdown": "https://mladenjovanovic.github.io/STMr/",
  "_searchresults": 7,
  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/STMr.html",
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  "_homeurl": "https://github.com/mladenjovanovic/stmr",
  "_realowner": "mladenjovanovic",
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      "date": "2022-03-16"
    },
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      "date": "2022-08-31"
    },
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      "date": "2022-09-17"
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      "date": "2023-11-02"
    },
    {
      "version": "0.1.7",
      "date": "2026-01-21"
    }
  ],
  "_exports": [
    ".vertical_rep_accumulation.post",
    "%>%",
    "adj_perc_1RM_DI",
    "adj_perc_1RM_perc_MR",
    "adj_perc_1RM_rel_int",
    "adj_perc_1RM_RIR",
    "adj_reps_DI",
    "adj_reps_perc_MR",
    "adj_reps_rel_int",
    "adj_reps_RIR",
    "create_example",
    "estimate_k",
    "estimate_k_1RM",
    "estimate_k_1RM_mixed",
    "estimate_k_1RM_quantile",
    "estimate_k_generic",
    "estimate_k_generic_1RM",
    "estimate_k_generic_1RM_mixed",
    "estimate_k_generic_1RM_quantile",
    "estimate_k_mixed",
    "estimate_k_quantile",
    "estimate_klin",
    "estimate_klin_1RM",
    "estimate_klin_1RM_mixed",
    "estimate_klin_1RM_quantile",
    "estimate_klin_mixed",
    "estimate_klin_quantile",
    "estimate_kmod",
    "estimate_kmod_1RM",
    "estimate_kmod_1RM_mixed",
    "estimate_kmod_1RM_quantile",
    "estimate_kmod_mixed",
    "estimate_kmod_quantile",
    "estimate_rolling_1RM",
    "generate_progression_table",
    "get_perc_1RM",
    "get_predicted_1RM_from_k_model",
    "get_reps",
    "max_perc_1RM_epley",
    "max_perc_1RM_linear",
    "max_perc_1RM_modified_epley",
    "max_reps_epley",
    "max_reps_linear",
    "max_reps_modified_epley",
    "plot_progression_table",
    "plot_scheme",
    "plot_vertical",
    "progression_DI",
    "progression_perc_drop",
    "progression_perc_MR",
    "progression_perc_MR_variable",
    "progression_rel_int",
    "progression_RIR",
    "progression_RIR_increment",
    "progression_variable_DI",
    "progression_variable_RIR",
    "release",
    "scheme_generic",
    "scheme_ladder",
    "scheme_light_heavy",
    "scheme_manual",
    "scheme_perc_1RM",
    "scheme_plateau",
    "scheme_pyramid",
    "scheme_pyramid_reverse",
    "scheme_rep_acc",
    "scheme_step",
    "scheme_step_reverse",
    "scheme_wave",
    "scheme_wave_descending",
    "vertical_block",
    "vertical_block_undulating",
    "vertical_block_variant",
    "vertical_constant",
    "vertical_linear",
    "vertical_linear_reverse",
    "vertical_planning",
    "vertical_rep_accumulation",
    "vertical_set_accumulation",
    "vertical_set_accumulation_reverse",
    "vertical_undulating",
    "vertical_undulating_reverse",
    "vertical_volume_intensity"
  ],
  "_datasets": [
    {
      "name": "RTF_testing",
      "title": "Reps to failure testing of 12 athletes",
      "object": "RTF_testing",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Athlete",
        "1RM",
        "Target %1RM",
        "Target Weight",
        "Real Weight",
        "Real %1RM",
        "nRM"
      ],
      "rows": 36,
      "table": true,
      "tojson": true
    },
    {
      "name": "strength_training_log",
      "title": "Strength Training Log",
      "object": "strength_training_log",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "phase",
        "week",
        "day",
        "session",
        "set",
        "weight",
        "reps",
        "eRIR"
      ],
      "rows": 144,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "plus-.STMr_scheme",
      "title": "Method for adding set and rep schemes",
      "topics": [
        "+.STMr_scheme"
      ]
    },
    {
      "page": "adj_perc_1RM",
      "title": "Family of functions to adjust %1RM",
      "topics": [
        "adj_perc_1RM",
        "adj_perc_1RM_DI",
        "adj_perc_1RM_perc_MR",
        "adj_perc_1RM_rel_int",
        "adj_perc_1RM_RIR"
      ]
    },
    {
      "page": "adj_reps",
      "title": "Family of functions to adjust number of repetition",
      "topics": [
        "adj_reps",
        "adj_reps_DI",
        "adj_reps_perc_MR",
        "adj_reps_rel_int",
        "adj_reps_RIR"
      ]
    },
    {
      "page": "create_example",
      "title": "Create Example",
      "topics": [
        "create_example"
      ]
    },
    {
      "page": "estimate_functions",
      "title": "Estimate relationship between reps and %1RM (or weight)",
      "topics": [
        "estimate_functions",
        "estimate_k",
        "estimate_klin",
        "estimate_klin_1RM",
        "estimate_kmod",
        "estimate_kmod_1RM",
        "estimate_k_1RM",
        "estimate_k_generic",
        "estimate_k_generic_1RM",
        "get_predicted_1RM_from_k_model"
      ]
    },
    {
      "page": "estimate_functions_mixed",
      "title": "Estimate relationship between reps and weight using the non-linear mixed-effects regression",
      "topics": [
        "estimate_functions_mixed",
        "estimate_klin_1RM_mixed",
        "estimate_klin_mixed",
        "estimate_kmod_1RM_mixed",
        "estimate_kmod_mixed",
        "estimate_k_1RM_mixed",
        "estimate_k_generic_1RM_mixed",
        "estimate_k_mixed"
      ]
    },
    {
      "page": "estimate_functions_quantile",
      "title": "Estimate relationship between reps and weight using the non-linear quantile regression",
      "topics": [
        "estimate_functions_quantile",
        "estimate_klin_1RM_quantile",
        "estimate_klin_quantile",
        "estimate_kmod_1RM_quantile",
        "estimate_kmod_quantile",
        "estimate_k_1RM_quantile",
        "estimate_k_generic_1RM_quantile",
        "estimate_k_quantile"
      ]
    },
    {
      "page": "estimate_rolling_1RM",
      "title": "Estimate the rolling profile and 1RM",
      "topics": [
        "estimate_rolling_1RM"
      ]
    },
    {
      "page": "progression_table",
      "title": "Family of functions to create progression tables",
      "topics": [
        "generate_progression_table",
        "progression_DI",
        "progression_perc_drop",
        "progression_perc_MR",
        "progression_perc_MR_variable",
        "progression_rel_int",
        "progression_RIR",
        "progression_RIR_increment",
        "progression_table",
        "progression_variable_DI",
        "progression_variable_RIR"
      ]
    },
    {
      "page": "get_perc_1RM",
      "title": "Get %1RM",
      "topics": [
        "get_perc_1RM"
      ]
    },
    {
      "page": "get_reps",
      "title": "Get Reps",
      "topics": [
        "get_reps"
      ]
    },
    {
      "page": "max_perc_1RM",
      "title": "Family of functions to estimate max %1RM",
      "topics": [
        "max_perc_1RM",
        "max_perc_1RM_epley",
        "max_perc_1RM_linear",
        "max_perc_1RM_modified_epley"
      ]
    },
    {
      "page": "max_reps",
      "title": "Family of functions to estimate max number of repetition (nRM)",
      "topics": [
        "max_reps",
        "max_reps_epley",
        "max_reps_linear",
        "max_reps_modified_epley"
      ]
    },
    {
      "page": "plot_progression_table",
      "title": "Plotting of the Progression Table",
      "topics": [
        "plot_progression_table"
      ]
    },
    {
      "page": "plot_scheme",
      "title": "Plotting of the Set and Reps Scheme",
      "topics": [
        "plot_scheme"
      ]
    },
    {
      "page": "plot_vertical",
      "title": "Plotting of the Vertical Planning",
      "topics": [
        "plot_vertical"
      ]
    },
    {
      "page": "plot.STMr_release",
      "title": "Plotting of the Release",
      "topics": [
        "plot.STMr_release"
      ]
    },
    {
      "page": "plot.STMr_scheme",
      "title": "Plotting of the Set and Reps Scheme",
      "topics": [
        "plot.STMr_scheme"
      ]
    },
    {
      "page": "release",
      "title": "Create a Release period",
      "topics": [
        "release"
      ]
    },
    {
      "page": "RTF_testing",
      "title": "Reps to failure testing of 12 athletes",
      "topics": [
        "RTF_testing"
      ]
    },
    {
      "page": "set_and_reps_schemes",
      "title": "Set and Rep Schemes",
      "topics": [
        "scheme_generic",
        "scheme_ladder",
        "scheme_light_heavy",
        "scheme_manual",
        "scheme_perc_1RM",
        "scheme_plateau",
        "scheme_pyramid",
        "scheme_pyramid_reverse",
        "scheme_rep_acc",
        "scheme_step",
        "scheme_step_reverse",
        "scheme_wave",
        "scheme_wave_descending",
        "set_and_reps_schemes"
      ]
    },
    {
      "page": "sig_pad",
      "title": "Format to significant digits and pad to equal string width",
      "topics": [
        "sig_pad"
      ]
    },
    {
      "page": "strength_training_log",
      "title": "Strength Training Log",
      "topics": [
        "strength_training_log"
      ]
    },
    {
      "page": "vertical_planning_functions",
      "title": "Vertical Planning Functions",
      "topics": [
        ".vertical_rep_accumulation.post",
        "vertical_block",
        "vertical_block_undulating",
        "vertical_block_variant",
        "vertical_constant",
        "vertical_linear",
        "vertical_linear_reverse",
        "vertical_planning",
        "vertical_planning_functions",
        "vertical_rep_accumulation",
        "vertical_set_accumulation",
        "vertical_set_accumulation_reverse",
        "vertical_undulating",
        "vertical_undulating_reverse",
        "vertical_volume_intensity"
      ]
    }
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  "_indexed": true,
  "_nocasepkg": "stmr",
  "_universes": [
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