Prepare data for the RTMB nowcast engine

Usage

prepare_data(
  model,
  m,
  m_censored = NULL,
  X = NULL,
  d_star = NULL,
  delay_only = FALSE,
  max_time = NULL,
  num_strata = NULL,
  gp_L = 1.5,
  gp_boundary_frac = 0.62,
  ar_sigma_max = 1,
  is_confirmation = FALSE,
  ...
)

Arguments

model: A model() object.
m: Observation matrix: columns [event_time, count, delay, strata...], delays 1-indexed (single stratum supported in this version).
m_censored: Optional censored-observation matrix (same layout).
X: Optional covariate matrix (max_time rows, P columns).
d_star: Optional max-observable-delay vector; if NULL, computed as rev(seq_len(max_time)) - 1.
delay_only: If TRUE, only the delay process is prepared/fit.
max_time: Time-window length; defaults to max(m[, 1]).
num_strata: Number of stratum cells (the K-way product of the strata levels). If NULL, inferred from column 4 of m. The likelihood is summed over all max_time x num_strata (time, stratum) cells; 1 is unstratified.
gp_L: HSGP boundary factor (> 1). Default 1.5.
gp_boundary_frac: Fraction of the HSGP domain placed left of the data. Default 0.62.
ar_sigma_max: Upper bound on the AR/beta RW innovation SD. Default 1.
is_confirmation: If TRUE, the data are count-cumulative signed increments and the engine is built for the confirmation (Skellam / SkNB) likelihood instead of the standard count likelihood. Default FALSE.
...: Reserved.

Value

A named list of engine inputs.