NCA:
  fm_yaml:   'system.file(package="formods",  "templates", "formods.yaml")'
  mod_yaml:  'system.file(package="ruminate", "templates", "NCA.yaml")'
  #mod_yaml: "/Users/jmh/projects/ruminate/github/ruminate/inst/templates/NCA.yaml"
  elements:
    # Each element is a specific analysis
    - element:
        idx:    1
        name:   "PK Example"
        notes:  "Calculating exposure for a single output."
        # The data source contains the module ID (text) and the index used in
        # the module to identify the data source. When you use FM_fetch_ds to
        # identify data sources in other modules it creates a catalog data
        # frame. These correspond to the id and idx columns in that data frame.
        data_source:
          id:   "DW"  # Module ID
          idx:    3   # Data source index
        # This is where the options for PKNCA are defined. Those not defined
        # here will default to the values in the NCA.yaml file
        nca_config:
          adj.r.squared.factor:    1e-04
          max.missing:             0.5
          auc.method:              lin up/log down
          conc.na:                 drop
          conc.blq$first:          keep
          conc.blq$middle:         drop
          conc.blq$last:           keep
          first.tmax:              yes
          allow.tmax.in.half.life: no
          min.hl.points:           3
          min.span.ratio:          2
          min.hl.r.squared:        0.9
          max.aucinf.pext:         20
        # This is the rest of the analysis options
        ana_options:
          include_units: yes
          interval_range:
          - '0'
          - Inf
          fg_ind_obs_ncol: 4
          fg_ind_obs_nrow: 4
          curr_fg_ind_obs: Figure_1
          curr_tb_ind_obs: Table 1
          curr_tb_ind_params: Table 1
          curr_tb_sum_params: ''
          fg_ind_obs_rpt:
          - docx
          - pptx
          tb_ind_obs_rpt: docx
          tb_ind_params_rpt: docx
          tb_sum_params_rpt: pptx
          fg_ind_obs_logy: yes
          sampling: serial
          dose_from: cols
          fig_type: report
          tab_type: report
          nca_parameters:
          - cmax
          - auclast
          - aucinf.obs
          ana_scenario: sd_iv
          units_time: day
          units_conc: ng/mL
          units_dose: mg
          units_amt: mg
          col_id: ID
          col_time: TIME_DY
          col_ntime: NTIME_DY
          col_dose: DOSE
          col_dur: N/A
          col_conc: DV
          col_route: ROUTE
          col_group: ''
          col_evid: ''
          col_cycle: DOSE_NUM
          col_analyte: N/A
          fig_view: fg_ind_obs
          tab_view: tb_ind_obs
        components:
          # Each component here is an NCA analysis interval. The nca_parameters
          # are the PKNCA parameters that you want calculated over that
          # interval. The sampling can be either serial or sparse and the start
          # and stop times indicate the beginning or end of the interval
          - component:
              nca_parameters: ["aucinf.obs"]
              start:           0
              stop:            Inf
