Validate precipitation quantile mapping adjustments — validate_quantile

Convenience wrapper around `diagnose_precip_qm()` with argument names aligned to QM workflows.

Usage

validate_quantile_mapping(
  precip_org,
  precip_adjusted,
  month = NULL,
  year = NULL,
  mean_factor = NULL,
  var_factor = NULL,
  wet_thresh = 0.1,
  probs = c(0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99)
)

Arguments

precip_org: Numeric vector. Original precipitation values.
precip_adjusted: Numeric vector. Adjusted precipitation values (same length as `precip_org`).
month: Integer vector (optional). Month index (1–12) for each observation.
year: Integer vector (optional). Year index (1..n_years) for each observation.
mean_factor: Numeric matrix (optional). Target mean scaling factors (n_years x 12).
var_factor: Numeric matrix (optional). Target variance scaling factors (n_years x 12).
wet_thresh: Numeric. Threshold for defining wet days (default = 0.1 mm).
probs: Numeric vector. Quantile probabilities to evaluate.

Value

A `precip_qm_diagnostics` object (see `diagnose_precip_qm()`).