Control pre-fit response screening — screen

screen_control() stores threshold settings used by screen_gllvmTMB(). The defaults are deliberately conservative and advisory: they flag data conditions to inspect before fitting, but they do not remove traits, choose a latent rank, or validate a model.

Usage

screen_control(
  module = "binomial",
  rare_warn_n = 10,
  rare_strong_n = 5,
  prevalence_warn = c(0.05, 0.95),
  prevalence_strong = c(0.02, 0.98),
  phi_warn = 0.9,
  phi_strong = 0.95,
  discordant_warn_n = 10,
  discordant_strong_n = 5,
  hamming_rate_warn = 0.01
)

Arguments

module: Screening module. The first implemented module is "binomial".
rare_warn_n, rare_strong_n: Minority success/failure counts below these values trigger increasingly strong warnings.
prevalence_warn, prevalence_strong: Length-two numeric vectors giving lower and upper prevalence values for advisory imbalance notes.
phi_warn, phi_strong: Pairwise absolute-phi thresholds.
discordant_warn_n, discordant_strong_n: Pairwise discordant-count thresholds for near-duplicate binary traits.
hamming_rate_warn: Pairwise normalized Hamming-distance threshold.

Value

A gllvmTMB_screen_control object.