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Generate transfer matrix simulations

draw_mt.Rd

Generates simulated transfer matrices using MCMC or bootstrapping

Usage

draw_mt(
  data,
  district_col,
  uncertainty_method = c("bootstrap", "mcmc"),
  strategy = c("top_down", "bottom_up"),
  nsims,
  calib_vars = NULL,
  weights = NULL,
  seed,
  verbose = T
)

Arguments

data

Data frame with transfer matrix. When using bootstrapping, sample data should be provided where each row represents an individual. If uncertainty_method = 'mcmc', an aggregated transfer matrix should be provided.

district_col

Column name for district identifier (used in bottom-up strategy)

uncertainty_method

Uncertainty method: "mcmc" or "bootstrap"

strategy

Strategy for transfer matrix: "top_down" or "bottom_up"

nsims

Number of simulations to generate

calib_vars

Variables for calibration (vector of column names, optional)

weights

Name of column with reference weights for calibration (optional)

seed

Seed for reproducibility (optional)

verbose

Show progress messages (default TRUE)

Value

Data frame with transfer matrix simulations

See also

Other data-functions: load_and_validate(), validate_input_data()