METHOD_OPTIONS: 
    py_module: fit
    rand_seed: 12345
    # float_format: nonmem
    float_format: default
# PARALLEL: {MPI_WORKERS: {n_workers: 4}}
DESCRIPTION:
    name: fit_example1
    title: Simple Fit Example
    author: PoPy for PK/PD
    abstract: |
        One compartment model with elimination rate constant KE.
    keywords: ['one compartment model', 'iv_one_cmp_k']
FILE_PATHS:
    input_data_file: fit_example1_data.csv
    output_file_ext: ['svg', 'pdf']
EFFECTS:
    POP: |
        f[KE] ~ unif(0.001, 100) 0.05
        f[PNOISE] ~ unif(0.001, 100) 0.1
        f[KE_isv] ~ unif(0.001, 100) 0.1
    ID: |
        r[KE] ~ norm(0, f[KE_isv])
MODEL_PARAMS: |
    m[KE] = f[KE] * exp(r[KE])
    m[PNOISE] = f[PNOISE]
    m[ANOISE] = 0.001
DERIVATIVES: |
    d[CENTRAL] = @bolus{amt:c[AMT]} - m[KE]*s[CENTRAL]
PREDICTIONS: |
    p[CEN] = s[CENTRAL]
    var = (p[CEN]*m[PNOISE])**2 + m[ANOISE]**2
    c[DV_CENTRAL] ~ norm(p[CEN], var)
ODE_SOLVER: {CPPLSODA: {atol: 1e-06, rtol: 1e-06, max_nsteps: 750}}
FIT_METHODS: 
    - ND: {max_n_main_iterations: 30}
    # - JOE: {max_n_main_iterations: 30}
    # - FOCE: {max_n_main_iterations: 30}
OUTPUT_SCRIPTS:
    SIM: 
        output_mode: run
        sim_time_step: 1.0
    MSIM: 
        output_mode: run
        vpc_list: ['OBS_vs_TIME_VPC']
    FITSUM: 
        output_mode: run