# ==== DATA ===================================================================

response info:
    file: assets/_data/count-data.csv
    state variable:
        response column:
            - y_sim
        description:
            - Simulated count data
    sampling method: plot
    sample id column(s):
        - plot

site location info:
    file: assets/_data/sample-locs.csv
    coordinate columns:
        - x_coord
        - y_coord

covariate info:
    file: assets/_data/sample-covariates.csv
    # event date info: # TODO: describe. Only use when covariates are time-varying!
    #     date-time column: event_year
    #     date-time format: Y!

# ==== MODEL ==================================================================

# Likelihood. For counts, one or both of: poisson, negative-binomial.
likelihood:
    - poisson
    - negative-binomial

# Deterministic model for the mean. For counts, one of: exponential, linear,
# or monomolecular.
deterministic model:
    # - linear
    - exponential
    # - monomolecular

# Group-level effects structure. One of: b0, b0-b1.
group-level effects:
    - b0
    # - b0-b1

# Variance structure (these *have* to be colnames, not descriptions).
variances:
    stratum-level fixed:
      level: stratum
      type: fixed
      response column(s):
          - y_sim
    # site-level hierarchical:
    #  level: site
    #  type: hier
    #  response column(s):
    #      - y_sim

# Covariates.
additional covariates:
    - w1

# Initial values (one of: 'auto', 'default', or 'inherited')
initial values: default