pain_score: Scoring pain from paw features

In pawscore: Pain Assessment at Withdrawal Speeds (PAWS)

Scoring pain from paw features

Description

Returns a pain score based on Jones et al. 2020 or the given pain.model. Pain scores are standardized so that increasingly positive (negative) values correspond to increasingly likely to be painful (unlikely to be painful) experiences. Pain scores based on pain models derived from trinary pain stimuli will additionally be scaled such that the transition between low and high pain is occurs at 1. Scores are not comparable across pain models.

Usage

pain_score(
  paw.features,
  strains = NULL,
  strain.standards = jones2020.standards,
  feature.set = c("post.peak", "pre.peak"),
  pain.model = NULL
)

Arguments

paw.features	the paw features returned by extract_features
strains	a vector containing strain information for each mouse
strain.standards	z-scores (centering and scaling) information by strain
feature.set	use either pre-peak or post-peak features
pain.model	a pain model returned by create_pain_model or NULL, in which case the model from Jones et al. 2020 is used.

Value

one or more pain scores as a vector

pawscore documentation built on Sept. 18, 2023, 5:12 p.m.