Create a nowcast configuration object — nowcast

Creates a validated configuration object for running state-level NHSN nowcasts.

Usage

nowcast_config(
  max_delay = 7L,
  scale_factor = 3,
  prop_delay = 0.5,
  uncertainty_model = c("negative_binomial", "normal", "skellam"),
  draws = 1000L,
  location = NULL,
  output_dir = NULL
)

Arguments

max_delay: Integer. Maximum delay (in weeks) to consider for the reporting triangle. Default is 7.
scale_factor: Numeric. Multiplicative factor on max_delay for training volume in baselinenowcast. Default is 3.
prop_delay: Numeric between 0 and 1. Proportion of training data used for delay estimation. Default is 0.5.
uncertainty_model: Character. One of "negative_binomial" (default), "normal", or "skellam". Specifies the uncertainty model for probabilistic nowcasts.
draws: Integer. Number of posterior draws for probabilistic nowcasts. Default is 1000.
location: Character. A single location code (e.g., "ca"). Default is NULL, meaning no specific location is set.
output_dir: Character. Directory path for partitioned parquet output. If NULL, results are returned but not written to disk. Default is NULL.

Value

A list of class nowcast_config containing validated parameters.

Examples

# Default configuration
config <- nowcast_config()

# Custom configuration for a single state
config <- nowcast_config(
  max_delay = 5,
  uncertainty_model = "skellam",
  location = "ca",
  output_dir = "output/nowcasts"
)

# Configuration with fewer draws
config <- nowcast_config(
  draws = 500
)