pain_score {pawscore}

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