config_copy.yml

default:
  sbatch:
    wd: "/homes/hchacont/repos/MPH_thesis/"
    threads: 4
    user: "hchacont"
    memory: "1G"
    time: "00:10:00"
  mrbrt:
    spline_degree: 3
    spline_knots_type: "frequency"
    prior_spline_maxder_gaussian: !expr array(c(0, 0.03))
    spline_knots: !expr array(c(seq(0, 1, by = 0.1)))
  cascade:
    output: "output/"
    dpt_label: "mrbrt_cascade_dpt"
    prov_label: "mrbrt_cascade_prov"
    theta_dpt: 12
    theta_prov: 15
  pred:
    res: 0.1
    depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
  save:
    plots: FALSE
    plot_dir: "plots/test/"
    plots_format: ".png"
    prediction: FALSE
    prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
  sensitivity:
    output: "sensitivity/models"

validation_run:
  sbatch:
    wd: "/homes/hchacont/repos/MPH_thesis/"
    threads: 4
    user: "hchacont"
    memory: "1G"
    time: "00:10:00"
  mrbrt:
    spline_degree: 3
    spline_knots_type: "frequency"
    prior_spline_maxder_gaussian: !expr array(c(0, 0.03))
    spline_knots: !expr array(c(seq(0, 1, by = 0.1)))
  cascade:
    output: "output/"
    dpt_label: "mrbrt_cascade_dpt"
    prov_label: "mrbrt_cascade_prov"
    theta_dpt: 5
    theta_prov: 10
  pred:
    res: 0.1
    depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
  save:
    plots: TRUE
    plot_dir: "plots/test/validation/"
    plots_format: ".png"
    prediction: FALSE
    prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
  sensitivity:
    output: "sensitivity/models"    
    
sensitivity:
  sbatch:
    wd: "/homes/hchacont/repos/MPH_thesis/"
    output_dir: "/ihme/scratch/users/hchacont/mrbrtcovid/runs/"
    threads: 1
    user: "hchacont"
    memory: "1G"
    time: "00:20:00"
    memory_agg: "20G"
  mrbrt:
    spline_degree: 3
    spline_knots_type: "domain"
    prior_spline_maxder_gaussian: !expr array(c(0, 0.04))
    spline_knots: !expr array(c(seq(0, 1, by = 0.1)))
  cascade:
    output: "output/"
    dpt_label: "mrbrt_cascade_dpt"
    prov_label: "mrbrt_cascade_prov"
  pred:
    res: 1
    depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
    provs: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,2])
  save:
    plots: FALSE
    plot_dir: "plots/test/"
    plots_format: ".png"
    prediction: FALSE
    prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
  sensitivity:
    theta_dpt:  !expr seq(1,30, 1)
    theta_prov: !expr seq(1,30, 1)
    condition1: 1.2
    condition2: 1.5
    output: "sensitivity/models"