R version 4.6.0 RC (2026-04-21 r89932 ucrt) -- "Because it was There"
Copyright (C) 2026 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
> # * https://testthat.r-lib.org/articles/special-files.html
> 
> library(testthat)
> library(HealthMarkers)
> 
> test_check("HealthMarkers")
adipo_is(): reading input 'base_df' — 1 rows × 7 variables
adipo_is(): col_map (7 columns — 1 specified, 6 inferred from data)
  G0                ->  'G0'
  I0                ->  'I0'    (inferred)
  TG                ->  'TG'    (inferred)
  HDL_c             ->  'HDL_c'    (inferred)
  FFA               ->  'FFA'    (inferred)
  waist             ->  'waist'    (inferred)
  bmi               ->  'bmi'    (inferred)
adipo_is(): computing markers:
  Revised_QUICKI       [G0, I0, FFA]
  VAI_Men_inv          [waist, bmi, TG, HDL_c]
  VAI_Women_inv        [waist, bmi, TG, HDL_c]
  TG_HDL_C_inv         [TG, HDL_c]
  TyG_inv              [TG, G0]
  LAP_Men_inv          [waist, TG]
  LAP_Women_inv        [waist, TG]
  McAuley_index        [I0, TG]
  Adipo_inv            [FFA, I0]
  Belfiore_inv_FFA     [I0, FFA]
adipo_is(): results: Revised_QUICKI 1/1, VAI_Men_inv 1/1, VAI_Women_inv 1/1, TG_HDL_C_inv 1/1, TyG_inv 1/1, LAP_Men_inv 1/1, LAP_Women_inv 1/1, McAuley_index 1/1, Adipo_inv 1/1, Belfiore_inv_FFA 1/1
adiposity_sds_strat(): reading input 'df' — 1 rows × 2 variables
adiposity_sds_strat(): reading input 'df' — 1 rows × 2 variables
adiposity_sds_strat(): reading input 'df' — 1 rows × 2 variables
adiposity_sds_strat(): reading input 'df' — 1 rows × 2 variables
allostatic_load(): reading input 'df' — 4 rows × 3 variables
allostatic_load(): col_map (3 columns — 3 inferred from data)
  A                 ->  'A'    (inferred)
  B                 ->  'B'    (inferred)
  C                 ->  'C'    (inferred)
allostatic_load(): computing markers:
  AllostaticLoad [A, B, C]
allostatic_load(): results: AllostaticLoad 4/4
alm_bmi_index(): reading input 'df' — 1 rows × 3 variables
alm_bmi_index(): reading input 'df' — 1 rows × 3 variables
alm_bmi_index(): reading input 'data' — 1 rows × 1 variables
atherogenic_indices(): reading input 'dat' — 2 rows × 4 variables
atherogenic_indices(): col_map (4 columns — 4 specified)
  TC                ->  'TC'
  LDL_c             ->  'LDL_c'
  HDL_c             ->  'HDL_c'
  TG                ->  'TG'
atherogenic_indices(): computing markers:
  AIP        [log10(TG / HDL_c)]
  CRI_I      [TC / HDL_c [if TC available]]
  CRI_II     [LDL_c / HDL_c [if LDL_c available]]
atherogenic_indices(): results: AIP 2/2, CRI_I 2/2, CRI_II 2/2
bode_index(): reading input 'data' — class: character
bone_markers(): reading input 'df_full' — 2 rows × 14 variables
bone_markers(): col_map (14 columns — 13 specified, 1 inferred from data)
  weight            ->  'weight'
  height            ->  'height'
  ALM               ->  'ALM'
  FM                ->  'FM'
  BMD               ->  'BMD'
  BMD_ref_mean      ->  'BMD_ref_mean'
  BMD_ref_sd        ->  'BMD_ref_sd'
  TBS               ->  'TBS'
  HSA               ->  'HSA'
  PINP              ->  'PINP'
  CTX               ->  'CTX'
  BSAP              ->  'BSAP'
  Osteocalcin       ->  'Osteocalcin'
  age               ->  'age'    (inferred)
bone_markers(): computing markers:
  OSTA       [(weight - age) * 0.2]
  ALMI       [ALM / height^2]
  FMI        [FM / height^2]
  BMD_Tscore [(BMD - ref_mean) / ref_sd]
bone_markers(): results: OSTA 2/2, ALMI 2/2, FMI 2/2, BMD_Tscore 2/2, TBS 2/2, HSA 2/2, PINP 2/2, CTX 2/2, BSAP 2/2, Osteocalcin 2/2
charlson_index(): reading input 'df' — 1 rows × 19 variables
charlson_index(): reading input 'df' — 1 rows × 19 variables
charlson_index(): reading input 'data' — 1 rows × 1 variables
ckd_stage(): reading input 'df' — 5 rows × 2 variables
ckd_stage(): col_map (2 columns — 2 specified)
  eGFR              ->  'eGFR'
  UACR              ->  'UACR'
ckd_stage(): computing markers:
  CKD_stage          [eGFR G-stage]
  Albuminuria_stage  [UACR A-stage]
  KDIGO_risk         [combined KDIGO risk category]
ckd_stage(): results: CKD_stage 5/5, Albuminuria_stage 5/5, KDIGO_risk 5/5
corrected_calcium(): reading input 'data' — class: character
corrected_calcium(): reading input 'df_ok' — 1 rows × 2 variables
corrected_calcium(): reading input 'df_ok' — 1 rows × 2 variables
corrected_calcium(): col_map (2 columns — 1 specified, 1 inferred from data)
  calcium           ->  'Ca'
  albumin           ->  'Alb'    (inferred)
corrected_calcium(): computing markers:
  corrected_calcium  [Payne formula: Ca + 0.8 * (4.0 - Alb)]
corrected_calcium(): results: corrected_calcium 1/1
corrected_calcium(): reading input 'df_ok' — 1 rows × 2 variables
corrected_calcium(): reading input 'data' — 1 rows × 2 variables
fasting_is(): reading input 'df' — 1 rows × 1 variables
frax_score(): reading input 'df' — 1 rows × 2 variables
frax_score(): col_map (2 columns — 1 specified, 1 inferred from data)
  age               ->  'Age'
  sex               ->  'Sex'    (inferred)
frax_score(): computing markers:
  frax_major_percent [age, sex, risk factors, bmd]
  frax_hip_percent [age, sex, risk factors, bmd]
frax_score(): results: frax_major_percent 1/1, frax_hip_percent 1/1, frax_sex_norm 1/1, frax_age_used 1/1, frax_bmd_tscore 0/1
frax_score(): reading input 'df' — 1 rows × 2 variables
hormone_markers(): reading input 'df' — 1 rows × 1 variables
hormone_markers(): skipping 11 ratio(s) with unmapped inputs: FAI, LH_FSH, E2_P, E2_T, T3_T4, TSH_fT4, ARR, Ins_Glu, GH_IGF1, PRL_T, CAR_slope
iAge(): reading input 'df' — 3 rows × 3 variables
iAge(): col_map (3 columns — 3 specified)
  CRP               ->  'CRP'
  IL6               ->  'IL6'
  TNFa              ->  'TNFa'
iAge(): computing markers:
  iAge  [weighted sum: CRP*0.33 + IL6*0.33 + TNFa*0.34]
iAge(): results: iAge 1/3
kidney_failure_risk(): reading input 'df' — 1 rows × 4 variables
kidney_failure_risk(): col_map: age -> 'age', sex -> 'sex', eGFR -> 'eGFR', UACR -> 'UACR'
kidney_failure_risk(): computing markers:
  KFRE_2yr  [age, sex, eGFR, UACR -- 2-year kidney failure risk]
  KFRE_5yr  [age, sex, eGFR, UACR -- 5-year kidney failure risk]
kidney_failure_risk(): results: KFRE_2yr 1/1, KFRE_5yr 1/1
kyn_trp_ratio(): reading input 'df' — 1 rows × 2 variables
kyn_trp_ratio(): preparing inputs
kyn_trp_ratio(): col_map (2 columns — 2 inferred from data)
  kynurenine        ->  'Kyn_nM'    (inferred)
  tryptophan        ->  'Trp_uM'    (inferred)
kyn_trp_ratio(): computing markers:
  kyn_trp_ratio  [kynurenine (nmol/L) / tryptophan (mumol/L)]
kyn_trp_ratio(): results: kyn_trp_ratio 1/1
kyn_trp_ratio(): reading input 'df' — 1 rows × 2 variables
kyn_trp_ratio(): reading input 'data' — 1 rows × 2 variables
liver_fat_markers(): reading input 'df' — 2 rows × 7 variables
liver_fat_markers(): col_map (8 columns — 7 specified, 1 inferred from data)
  ALT               ->  'ALT'
  AST               ->  'AST'
  BMI               ->  'BMI'
  sex               ->  'sex'
  diabetes          ->  'diabetes'
  MetS              ->  'MetS'
  insulin           ->  'insulin'
  I0                ->  'insulin'    (inferred)
liver_fat_markers(): computing markers:
  HSI        [8*(ALT/AST) + BMI + sex + diabetes]
  NAFLD_LFS  [MetS/insulin/diabetes required; NA if unavailable]
liver_fat_markers(): results: HSI 2/2, NAFLD_LFS 2/2
liver_markers(): reading input 'df' — 1 rows × 12 variables
liver_markers(): col_map (12 columns — 12 specified)
  BMI               ->  'BMI'
  waist             ->  'waist'
  TG                ->  'TG'
  GGT               ->  'GGT'
  age               ->  'age'
  AST               ->  'AST'
  ALT               ->  'ALT'
  platelets         ->  'platelets'
  albumin           ->  'albumin'
  diabetes          ->  'diabetes'
  bilirubin         ->  'bilirubin'
  creatinine        ->  'creatinine'
liver_markers(): optional inputs
  present:  BMI, waist, TG, GGT, age, AST, ALT, platelets, albumin, diabetes, bilirubin, creatinine
liver_markers(): computing markers:
  FLI        [BMI, waist, TG, GGT]
  NFS        [age, BMI, diabetes, AST, ALT, platelets, albumin]
  APRI       [AST, platelets]
  FIB4       [age, AST, platelets, ALT]
  BARD       [BMI, AST, ALT, diabetes]
  ALBI       [bilirubin, albumin]
  MELD_XI    [bilirubin, creatinine]
liver_markers(): results: FLI 1/1, NFS 1/1, APRI 1/1, FIB4 1/1, BARD 1/1, ALBI 1/1, MELD_XI 1/1
metabolic_risk_features(): reading input 'df' — 1 rows × 10 variables
metabolic_risk_features(): col_map (10 columns — 10 specified)
  chol_total        ->  'chol_total'
  chol_ldl          ->  'chol_ldl'
  chol_hdl          ->  'chol_hdl'
  triglycerides     ->  'triglycerides'
  age_year          ->  'age_year'
  z_HOMA            ->  'z_HOMA'
  glucose           ->  'glucose'
  HbA1c             ->  'HbA1c'
  bp_sys_z          ->  'bp_sys_z'
  bp_dia_z          ->  'bp_dia_z'
metabolic_risk_features(): computing markers:
  dyslipidemia       [chol_total, chol_ldl, chol_hdl, triglycerides, age_year]
  insulin_resistance [z_HOMA]
  hyperglycemia      [glucose, HbA1c]
  hypertension       [bp_sys_z, bp_dia_z]
metabolic_risk_features(): results: dyslipidemia 1/1, insulin_resistance 1/1, hyperglycemia 1/1, hypertension 1/1
metss(): reading input 'df' — 1 rows × 7 variables
nfl_marker(): reading input 'df' — 2 rows × 1 variables
nfl_marker(): col_map (1 column — 1 inferred from data)
  nfl               ->  'NfL'    (inferred)
nfl_marker(): computing markers:
  nfl_value  [passthrough of NfL input]
nfl_marker(): results: nfl_value 2/2
nfl_marker(): reading input 'df' — 2 rows × 1 variables
nfl_marker(): reading input 'data' — 1 rows × 1 variables
nutrient_markers(): reading input 'df' — 1 rows × 19 variables
nutrient_markers(): col_map (19 columns — 19 specified)
  ferritin          ->  'ferritin'
  transferrin_sat   ->  'transferrin_sat'
  albumin           ->  'albumin'
  total_protein     ->  'total_protein'
  EPA               ->  'EPA'
  DHA               ->  'DHA'
  Mg                ->  'Mg'
  creatinine        ->  'creatinine'
  glycated_albumin  ->  'glycated_albumin'
  uric_acid         ->  'uric_acid'
  BUN               ->  'BUN'
  phosphate         ->  'phosphate'
  calcium           ->  'calcium'
  Na                ->  'Na'
  K                 ->  'K'
  Cl                ->  'Cl'
  HCO3              ->  'HCO3'
  Tyr               ->  'Tyr'
  Phe               ->  'Phe'
nutrient_markers(): optional inputs
  present:  ferritin, transferrin_sat, albumin, total_protein, EPA, DHA, Mg, creatinine, glycated_albumin, uric_acid, BUN, phosphate, calcium, Na, K, Cl, HCO3, Tyr, Phe
nutrient_markers(): computing markers:
  FerritinTS           [ferritin, transferrin_sat]
  AGR                  [albumin, total_protein]
  Omega3Index          [EPA, DHA]
  Mg_Cr_Ratio          [Mg, creatinine]
  GlycatedAlbuminPct   [glycated_albumin, albumin]
  UA_Cr_Ratio          [uric_acid, creatinine]
  BUN_Cr_Ratio         [BUN, creatinine]
  Ca_x_Phosphate       [calcium, phosphate]
  AnionGap             [Na, K, Cl, HCO3]
  Tyr_Phe_Ratio        [Tyr, Phe]
nutrient_markers(): results: FerritinTS 1/1, AGR 1/1, Omega3Index 1/1, Mg_Cr_Ratio 1/1, GlycatedAlbuminPct 1/1, UA_Cr_Ratio 1/1, BUN_Cr_Ratio 1/1, Ca_x_Phosphate 1/1, AnionGap 1/1, Tyr_Phe_Ratio 1/1
obesity_indices(): reading input 'base_df' — 2 rows × 5 variables
obesity_indices(): col_map: weight -> 'wt', height -> 'ht', waist -> 'waist', hip -> 'hip'
obesity_indices(): computing markers:
  BMI, BMI_cat, WHR, WHtR, AVI, BAI, ABSI, BRI, CI
obesity_indices(): results: weight_kg 2/2, height_m 2/2, BMI 2/2, BMI_cat 2/2, WHR 2/2, waist_to_height_ratio 2/2, waist_to_BMI_ratio 2/2, weight_to_height_ratio 2/2, AVI 2/2, BAI 2/2, ABSI 2/2, BRI 2/2, CI 2/2
oxidative_markers(): reading input 'df' — 2 rows × 2 variables
oxidative_markers(): col_map (2 columns — 2 specified)
  GSH               ->  'GSH'
  GSSG              ->  'GSSG'
oxidative_markers(): computing markers:
  GSH_GSSG_Ratio  [GSH / GSSG]
oxidative_markers(): results: GSH_GSSG_Ratio 2/2
psych_markers(): preparing inputs
phq9_score(): preparing inputs
psych_markers(): results: 1 rows, 31 new columns
phq9_score(): preparing inputs
phq9_score(): results: PHQ9_total 1/1, PHQ9_severity 1/1
saliva_markers(): reading input 'df1' — 1 rows × 4 variables
saliva_markers(): reading input 'df2' — 1 rows × 3 variables
sarc_f_score(): reading input 'df' — 1 rows × 5 variables
sarc_f_score(): col_map (5 columns — 5 inferred from data)
  strength          ->  'Strength'    (inferred)
  walking           ->  'Walking'    (inferred)
  chair             ->  'Chair'    (inferred)
  stairs            ->  'Stairs'    (inferred)
  falls             ->  'Falls'    (inferred)
sarc_f_score(): computing markers:
  sarc_f_score      [0-10 sum]
  sarc_f_high_risk  [score >= 4]
sarc_f_score(): results: sarc_f_score 1/1, sarc_f_high_risk 1/1
sarc_f_score(): reading input 'df' — 1 rows × 5 variables
sarc_f_score(): reading input 'data' — 1 rows × 5 variables
spirometry_markers(): reading input 'df' — 3 rows × 4 variables
spirometry_markers(): col_map (8 columns — 8 specified)
  fev1              ->  'FEV1'
  fvc               ->  'FVC'
  fev1_post         ->  'FEV1_post'
  fvc_post          ->  'FVC_post'
  age               ->  'age'
  height            ->  'height'
  sex               ->  'sex'
  ethnicity         ->  'ethnicity'
spirometry_markers(): computing markers:
  ratio_pre/post  [FEV1/FVC]
  copd_flag_fixed [ratio < 0.70]
  obstruction_lln [LLN-based]
  fev1_pp/fvc_pp  [% predicted]
  gold_grade      [GOLD severity]
spirometry_markers(): results: ratio_pre 3/3, ratio_post 2/3, copd_flag_fixed 3/3, obstruction_lln 0/3, fev1_pp 0/3, fvc_pp 0/3, fev1_z 0/3, fvc_z 0/3, ratio_z 0/3, gold_grade 0/3, bdr_fev1 2/3, bdr_fvc 2/3
sweat_markers(): reading input 'df1' — 1 rows × 7 variables
sweat_markers(): reading input 'df2' — 1 rows × 4 variables
urine_markers(): reading input 'df1' — 1 rows × 1 variables
urine_markers(): reading input 'df2' — 1 rows × 1 variables
vitamin_d_status(): reading input 'df' — 2 rows × 1 variables
vitamin_d_status(): col_map (2 columns — 2 inferred from data)
  vitd              ->  'VitD'    (inferred)
  vitamin_d         ->  'VitD'    (inferred)
vitamin_d_status(): computing markers:
  vitamin_d_status [VitD]
vitamin_d_status(): results: vitamin_d_status 2/2
vitamin_d_status(): reading input 'df' — 2 rows × 1 variables
vitamin_d_status(): reading input 'data' — 1 rows × 1 variables
vitamin_markers(): reading input 'data' — class: character
[ FAIL 0 | WARN 1 | SKIP 533 | PASS 227 ]

══ Skipped tests (533) ═════════════════════════════════════════════════════════
• On CRAN (533): 'test-adipo_is.R:42:3', 'test-adipo_is.R:56:3',
  'test-adipo_is.R:63:3', 'test-adipo_is.R:75:3', 'test-adipo_is.R:87:3',
  'test-adipo_is.R:100:3', 'test-adipo_is.R:110:3', 'test-adipo_is.R:128:3',
  'test-adipo_is.R:150:3', 'test-adipo_is.R:160:3', 'test-adipo_is.R:175:3',
  'test-adipo_is.R:182:3', 'test-adipo_is.R:189:3', 'test-adipo_is.R:201:3',
  'test-adipo_is.R:212:3', 'test-adipo_is.R:220:3',
  'test-adiposity_sds.R:21:3', 'test-adiposity_sds.R:29:3',
  'test-adiposity_sds.R:38:3', 'test-adiposity_sds.R:46:3',
  'test-adiposity_sds.R:59:3', 'test-adiposity_sds.R:67:3',
  'test-adiposity_sds.R:75:3', 'test-adiposity_sds.R:84:3',
  'test-adiposity_sds.R:91:3', 'test-adiposity_sds.R:99:3',
  'test-adiposity_sds.R:108:3', 'test-adiposity_sds_strat.R:37:3',
  'test-adiposity_sds_strat.R:50:3', 'test-adiposity_sds_strat.R:63:3',
  'test-adiposity_sds_strat.R:76:3', 'test-adiposity_sds_strat.R:89:3',
  'test-adiposity_sds_strat.R:102:3', 'test-adiposity_sds_strat.R:118:3',
  'test-adiposity_sds_strat.R:129:3', 'test-adiposity_sds_strat.R:142:3',
  'test-adiposity_sds_strat.R:154:3', 'test-adiposity_sds_strat.R:164:3',
  'test-adiposity_sds_strat.R:179:3', 'test-adiposity_sds_strat.R:190:3',
  'test-adiposity_sds_strat.R:200:3', 'test-adiposity_sds_strat.R:209:3',
  'test-allostatic_load.R:20:3', 'test-allostatic_load.R:28:3',
  'test-allostatic_load.R:41:3', 'test-allostatic_load.R:51:3',
  'test-allostatic_load.R:59:3', 'test-allostatic_load.R:68:3',
  'test-allostatic_load.R:76:3', 'test-allostatic_load.R:84:3',
  'test-allostatic_load.R:94:3', 'test-allostatic_load.R:106:3',
  'test-alm_bmi_index.R:26:3', 'test-alm_bmi_index.R:35:3',
  'test-alm_bmi_index.R:44:3', 'test-alm_bmi_index.R:58:3',
  'test-alm_bmi_index.R:84:3', 'test-alm_bmi_index.R:132:3',
  'test-alm_bmi_index.R:146:3', 'test-alm_bmi_index.R:159:3',
  'test-alm_bmi_index.R:173:3', 'test-atherogenic_indices.R:21:3',
  'test-atherogenic_indices.R:29:3', 'test-atherogenic_indices.R:36:3',
  'test-atherogenic_indices.R:43:3', 'test-atherogenic_indices.R:52:3',
  'test-atherogenic_indices.R:59:3', 'test-atherogenic_indices.R:70:3',
  'test-atherogenic_indices.R:80:3', 'test-bode_index.R:10:3',
  'test-bode_index.R:17:3', 'test-bode_index.R:26:3', 'test-bode_index.R:35:3',
  'test-bode_index.R:48:3', 'test-bode_index.R:61:3', 'test-bode_index.R:81:3',
  'test-bode_index.R:93:3', 'test-bode_index.R:112:3',
  'test-bode_index.R:126:3', 'test-bode_index.R:141:3',
  'test-bode_index.R:154:3', 'test-bode_index.R:162:3',
  'test-bone_markers.R:37:3', 'test-bone_markers.R:49:3',
  'test-bone_markers.R:60:3', 'test-bone_markers.R:77:3',
  'test-bone_markers.R:85:3', 'test-bone_markers.R:95:3',
  'test-bone_markers.R:103:3', 'test-bone_markers.R:111:3',
  'test-bone_markers.R:121:3', 'test-bone_markers.R:129:3',
  'test-calc_sds.R:40:3', 'test-calc_sds.R:68:3', 'test-calc_sds.R:107:3',
  'test-calc_sds.R:138:3', 'test-calc_sds.R:153:3', 'test-calc_sds.R:173:3',
  'test-charlson_index.R:31:3', 'test-charlson_index.R:40:3',
  'test-charlson_index.R:49:3', 'test-charlson_index.R:55:3',
  'test-charlson_index.R:77:3', 'test-charlson_index.R:84:3',
  'test-charlson_index.R:92:3', 'test-charlson_index.R:103:3',
  'test-charlson_index.R:135:3', 'test-charlson_index.R:148:3',
  'test-charlson_index.R:155:3', 'test-ckd_stage.R:11:3',
  'test-ckd_stage.R:24:3', 'test-ckd_stage.R:31:3', 'test-ckd_stage.R:41:3',
  'test-ckd_stage.R:51:3', 'test-ckd_stage.R:60:3', 'test-ckd_stage.R:70:3',
  'test-ckd_stage.R:80:3', 'test-corrected_calcium.R:35:3',
  'test-corrected_calcium.R:46:3', 'test-corrected_calcium.R:75:3',
  'test-corrected_calcium.R:85:3', 'test-corrected_calcium.R:100:3',
  'test-corrected_calcium.R:123:3', 'test-corrected_calcium.R:136:3',
  'test-corrected_calcium.R:148:3', 'test-corrected_calcium.R:162:3',
  'test-corrected_calcium.R:171:3', 'test-corrected_calcium.R:180:3',
  'test-corrected_calcium.R:189:3', 'test-cvd_risk.R:27:3',
  'test-cvd_risk.R:36:3', 'test-cvd_risk.R:46:3', 'test-cvd_risk.R:58:3',
  'test-cvd_risk.R:70:3', 'test-cvd_risk.R:87:3', 'test-cvd_risk.R:96:3',
  'test-cvd_risk.R:102:3', 'test-cvd_risk.R:115:3', 'test-cvd_risk.R:124:3',
  'test-cvd_risk.R:130:3', 'test-cvd_risk.R:137:3', 'test-cvd_risk.R:147:3',
  'test-cvd_risk.R:158:3', 'test-cvd_risk.R:167:3', 'test-cvd_risk.R:175:3',
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  'test-cvd_risk.R:212:3', 'test-cvd_risk.R:218:3', 'test-cvd_risk.R:225:3',
  'test-cvd_risk.R:235:3', 'test-cvd_risk.R:242:3', 'test-cvd_risk.R:250:3',
  'test-cvd_risk.R:257:3', 'test-cvd_risk.R:264:3', 'test-fasting_is.R:11:3',
  'test-fasting_is.R:34:3', 'test-fasting_is.R:44:3', 'test-fasting_is.R:77:3',
  'test-fasting_is.R:84:3', 'test-fasting_is.R:93:3',
  'test-fasting_is.R:103:3', 'test-frailty_index.R:25:3',
  'test-frailty_index.R:38:3', 'test-frailty_index.R:48:3',
  'test-frailty_index.R:62:3', 'test-frailty_index.R:77:3',
  'test-frailty_index.R:89:3', 'test-frailty_index.R:111:3',
  'test-frailty_index.R:120:3', 'test-frailty_index.R:131:3',
  'test-frax_score.R:18:3', 'test-frax_score.R:27:3', 'test-frax_score.R:38:3',
  'test-frax_score.R:52:3', 'test-frax_score.R:59:3', 'test-frax_score.R:68:3',
  'test-frax_score.R:78:3', 'test-frax_score.R:90:3',
  'test-frax_score.R:105:3', 'test-frax_score.R:114:3',
  'test-frax_score.R:125:3', 'test-frax_score.R:138:3',
  'test-frax_score.R:147:3', 'test-glycemic_markers.R:23:3',
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  'test-glycemic_markers.R:66:3', 'test-glycemic_markers.R:81:3',
  'test-glycemic_markers.R:101:3', 'test-glycemic_markers.R:117:3',
  'test-glycemic_markers.R:142:3', 'test-glycemic_markers.R:152:3',
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  'test-glycemic_markers.R:207:3', 'test-glycemic_markers.R:217:3',
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  'test-glycemic_markers.R:253:3', 'test-glycemic_markers.R:268:3',
  'test-glycemic_markers.R:282:3', 'test-glycemic_markers.R:299:3',
  'test-glycemic_markers.R:318:3', 'test-health_markers.R:33:3',
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  'test-health_markers.R:178:3', 'test-hormone_markers.R:15:3',
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  'test-hormone_markers.R:77:3', 'test-hormone_markers.R:96:3',
  'test-impute_missing.R:24:3', 'test-impute_missing.R:31:3',
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  'test-impute_missing.R:115:3', 'test-impute_missing.R:125:3',
  'test-impute_missing.R:134:3', 'test-inflammatory_age.R:27:3',
  'test-inflammatory_age.R:41:3', 'test-inflammatory_age.R:54:3',
  'test-inflammatory_age.R:62:3', 'test-inflammatory_age.R:71:3',
  'test-inflammatory_age.R:81:3', 'test-inflammatory_age.R:86:3',
  'test-inflammatory_age.R:92:3', 'test-inflammatory_age.R:100:3',
  'test-inflammatory_age.R:110:3', 'test-inflammatory_age.R:117:3',
  'test-inflammatory_markers.R:12:3', 'test-inflammatory_markers.R:32:3',
  'test-inflammatory_markers.R:45:3', 'test-inflammatory_markers.R:58:3',
  'test-inflammatory_markers.R:72:3', 'test-inflammatory_markers.R:87:3',
  'test-inflammatory_markers.R:101:3', 'test-inflammatory_markers.R:119:3',
  'test-inflammatory_markers.R:129:3', 'test-kidney_kfre.R:26:3',
  'test-kidney_kfre.R:44:3', 'test-kidney_kfre.R:60:3',
  'test-kidney_kfre.R:74:3', 'test-kidney_kfre.R:84:3',
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  'test-kidney_kfre.R:117:3', 'test-kidney_kfre.R:127:3',
  'test-kidney_kfre.R:139:3', 'test-kidney_kfre.R:149:3',
  'test-kidney_kfre.R:160:3', 'test-kidney_kfre.R:178:3',
  'test-kidney_kfre.R:199:3', 'test-kyn_trp_ratio.R:23:3',
  'test-kyn_trp_ratio.R:32:3', 'test-kyn_trp_ratio.R:43:3',
  'test-kyn_trp_ratio.R:49:3', 'test-kyn_trp_ratio.R:66:3',
  'test-kyn_trp_ratio.R:73:3', 'test-kyn_trp_ratio.R:89:3',
  'test-kyn_trp_ratio.R:96:3', 'test-lipid_markers.R:33:3',
  'test-lipid_markers.R:43:3', 'test-lipid_markers.R:52:3',
  'test-lipid_markers.R:76:3', 'test-lipid_markers.R:103:3',
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  'test-lipid_markers.R:170:3', 'test-lipid_markers.R:179:3',
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  'test-lipid_markers.R:214:3', 'test-lipid_markers.R:228:3',
  'test-lipid_markers.R:247:3', 'test-lipid_markers.R:273:3',
  'test-liver_fat_markers.R:19:3', 'test-liver_fat_markers.R:37:3',
  'test-liver_fat_markers.R:48:3', 'test-liver_markers.R:32:3',
  'test-liver_markers.R:46:3', 'test-liver_markers.R:62:3',
  'test-liver_markers.R:80:3', 'test-liver_markers.R:99:3',
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  'test-liver_markers.R:255:3', 'test-liver_markers.R:275:3',
  'test-liver_markers.R:289:3', 'test-liver_markers.R:301:3',
  'test-liver_markers.R:314:3', 'test-liver_markers.R:336:3',
  'test-liver_markers.R:349:3', 'test-liver_markers.R:371:3',
  'test-liver_markers.R:383:3', 'test-liver_markers.R:403:3',
  'test-liver_markers.R:418:3', 'test-liver_markers.R:463:3',
  'test-liver_markers.R:479:3', 'test-liver_markers.R:500:3',
  'test-liver_markers.R:516:3', 'test-marker_summary.R:17:3',
  'test-marker_summary.R:26:3', 'test-marker_summary.R:34:3',
  'test-marker_summary.R:42:3', 'test-marker_summary.R:50:3',
  'test-marker_summary.R:55:3', 'test-metabolic_risk_features.R:27:3',
  'test-metabolic_risk_features.R:43:3', 'test-metabolic_risk_features.R:62:3',
  'test-metabolic_risk_features.R:78:3', 'test-metabolic_risk_features.R:91:3',
  'test-metabolic_risk_features.R:103:3',
  'test-metabolic_risk_features.R:115:3',
  'test-metabolic_risk_features.R:127:3',
  'test-metabolic_risk_features.R:141:3',
  'test-metabolic_risk_features.R:155:3',
  'test-metabolic_risk_features.R:171:3',
  'test-metabolic_risk_features.R:183:3',
  'test-metabolic_risk_features.R:197:3', 'test-metss.R:26:3',
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  'test-metss.R:116:3', 'test-metss.R:130:3', 'test-metss.R:151:3',
  'test-metss.R:168:3', 'test-metss.R:188:3', 'test-nfl_marker.R:23:3',
  'test-nfl_marker.R:32:3', 'test-nfl_marker.R:41:3', 'test-nfl_marker.R:51:3',
  'test-nfl_marker.R:74:3', 'test-nfl_marker.R:84:3', 'test-nfl_marker.R:92:3',
  'test-normalize_vec.R:12:3', 'test-normalize_vec.R:21:3',
  'test-normalize_vec.R:29:3', 'test-normalize_vec.R:37:3',
  'test-normalize_vec.R:45:3', 'test-normalize_vec.R:54:3',
  'test-normalize_vec.R:63:3', 'test-normalize_vec.R:70:3',
  'test-normalize_vec.R:77:3', 'test-nutrient_markers.R:51:3',
  'test-nutrient_markers.R:66:3', 'test-nutrient_markers.R:80:3',
  'test-nutrient_markers.R:89:3', 'test-nutrient_markers.R:100:3',
  'test-nutrient_markers.R:105:3', 'test-nutrient_markers.R:117:3',
  'test-nutrient_markers.R:132:3', 'test-nutrient_markers.R:147:3',
  'test-nutrient_markers.R:165:3', 'test-obesity_metrics.R:55:3',
  'test-obesity_metrics.R:84:3', 'test-obesity_metrics.R:109:3',
  'test-obesity_metrics.R:133:3', 'test-obesity_metrics.R:169:3',
  'test-obesity_metrics.R:182:3', 'test-obesity_metrics.R:198:3',
  'test-obesity_metrics.R:215:3', 'test-obesity_metrics.R:232:3',
  'test-ogtt_is.R:49:3', 'test-ogtt_is.R:56:3', 'test-ogtt_is.R:73:3',
  'test-ogtt_is.R:93:3', 'test-ogtt_is.R:102:3', 'test-ogtt_is.R:110:3',
  'test-ogtt_is.R:118:3', 'test-ogtt_is.R:126:3', 'test-ogtt_is.R:134:3',
  'test-oxidative_markers.R:10:3', 'test-oxidative_markers.R:18:3',
  'test-oxidative_markers.R:27:3', 'test-oxidative_markers.R:38:3',
  'test-oxidative_markers.R:46:3', 'test-oxidative_markers.R:54:3',
  'test-oxidative_markers.R:63:3', 'test-oxidative_markers.R:72:3',
  'test-psych_markers.R:87:3', 'test-psych_markers.R:96:3',
  'test-psych_markers.R:103:3', 'test-psych_scores.R:46:3',
  'test-psych_scores.R:53:3', 'test-psych_scores.R:61:3',
  'test-psych_scores.R:68:3', 'test-psych_scores.R:76:3',
  'test-psych_scores.R:83:3', 'test-psych_scores.R:98:3',
  'test-psych_scores.R:107:3', 'test-psych_scores.R:113:3',
  'test-psych_scores.R:122:3', 'test-psych_scores.R:129:3',
  'test-psych_scores.R:138:3', 'test-psych_scores.R:148:3',
  'test-psych_scores.R:158:3', 'test-psych_scores.R:166:3',
  'test-psych_scores.R:171:3', 'test-psych_scores.R:177:3',
  'test-psych_scores.R:184:3', 'test-psych_scores.R:191:3',
  'test-psych_scores.R:198:3', 'test-psych_scores.R:206:3',
  'test-psych_scores.R:216:3', 'test-psych_scores.R:226:3',
  'test-psych_scores.R:233:3', 'test-psych_scores.R:247:3',
  'test-psych_scores.R:259:3', 'test-psych_scores.R:269:3',
  'test-pulmo_markers.R:56:3', 'test-pulmo_markers.R:79:3',
  'test-pulmo_markers.R:101:3', 'test-pulmo_markers.R:126:3',
  'test-pulmo_markers.R:140:3', 'test-pulmo_markers.R:151:3',
  'test-pulmo_markers.R:162:3', 'test-pulmo_markers.R:172:3',
  'test-pulmo_markers.R:183:3', 'test-pulmo_markers.R:198:3',
  'test-renal_markers.R:27:3', 'test-renal_markers.R:37:3',
  'test-renal_markers.R:46:3', 'test-renal_markers.R:58:3',
  'test-renal_markers.R:75:3', 'test-renal_markers.R:86:3',
  'test-renal_markers.R:98:3', 'test-renal_markers.R:118:3',
  'test-saliva_markers.R:31:3', 'test-saliva_markers.R:60:3',
  'test-saliva_markers.R:76:3', 'test-saliva_markers.R:91:3',
  'test-saliva_markers.R:106:3', 'test-saliva_markers.R:121:3',
  'test-saliva_markers.R:136:3', 'test-sarc_f_score.R:20:3',
  'test-sarc_f_score.R:29:3', 'test-sarc_f_score.R:38:3',
  'test-sarc_f_score.R:50:3', 'test-sarc_f_score.R:78:3',
  'test-sarc_f_score.R:93:3', 'test-sarc_f_score.R:110:3',
  'test-sarc_f_score.R:131:3', 'test-spirometry_markers.R:40:3',
  'test-spirometry_markers.R:49:3', 'test-spirometry_markers.R:58:3',
  'test-spirometry_markers.R:86:3', 'test-spirometry_markers.R:98:3',
  'test-spirometry_markers.R:122:3', 'test-spirometry_markers.R:134:3',
  'test-spirometry_markers.R:149:3', 'test-spirometry_markers.R:160:3',
  'test-spirometry_markers.R:173:3', 'test-sweat_markers.R:37:3',
  'test-sweat_markers.R:61:3', 'test-sweat_markers.R:79:3',
  'test-sweat_markers.R:97:3', 'test-sweat_markers.R:115:3',
  'test-sweat_markers.R:135:3', 'test-sweat_markers.R:151:3',
  'test-tracer_dxa_is.R:37:3', 'test-tracer_dxa_is.R:56:3',
  'test-tracer_dxa_is.R:109:3', 'test-tracer_dxa_is.R:140:3',
  'test-tracer_dxa_is.R:164:3', 'test-tracer_dxa_is.R:188:3',
  'test-tracer_dxa_is.R:211:3', 'test-tracer_dxa_is.R:234:3',
  'test-urine_markers.R:26:3', 'test-urine_markers.R:72:3',
  'test-urine_markers.R:92:3', 'test-urine_markers.R:104:3',
  'test-urine_markers.R:117:3', 'test-urine_markers.R:133:3',
  'test-urine_markers.R:145:3', 'test-urine_markers.R:164:3',
  'test-urine_markers.R:176:3', 'test-utils_helpers.R:19:3',
  'test-utils_helpers.R:35:3', 'test-utils_helpers.R:48:3',
  'test-utils_helpers.R:60:3', 'test-utils_helpers.R:70:3',
  'test-utils_helpers.R:79:3', 'test-utils_helpers.R:89:3',
  'test-utils_helpers.R:98:3', 'test-utils_helpers.R:107:3',
  'test-utils_helpers.R:116:3', 'test-utils_helpers.R:125:3',
  'test-utils_helpers.R:135:3', 'test-utils_helpers.R:144:3',
  'test-utils_helpers.R:153:3', 'test-utils_helpers.R:161:3',
  'test-utils_helpers.R:169:3', 'test-utils_infer_cols.R:23:3',
  'test-utils_infer_cols.R:33:3', 'test-utils_infer_cols.R:40:3',
  'test-utils_infer_cols.R:60:3', 'test-utils_infer_cols.R:67:3',
  'test-validate_inputs.R:9:3', 'test-validate_inputs.R:17:3',
  'test-validate_inputs.R:26:3', 'test-vitamin_d_status.R:15:3',
  'test-vitamin_d_status.R:24:3', 'test-vitamin_d_status.R:33:3',
  'test-vitamin_d_status.R:39:3', 'test-vitamin_d_status.R:57:3',
  'test-vitamin_d_status.R:69:3', 'test-vitamin_d_status.R:77:3',
  'test-vitamin_d_status.R:91:3', 'test-vitamin_markers.R:32:3',
  'test-vitamin_markers.R:41:3', 'test-vitamin_markers.R:57:3',
  'test-vitamin_markers.R:71:3', 'test-vitamin_markers.R:86:3',
  'test-vitamin_markers.R:96:3', 'test-vitamin_markers.R:106:3'

[ FAIL 0 | WARN 1 | SKIP 533 | PASS 227 ]
> 
> proc.time()
   user  system elapsed 
 136.42    3.29  140.10