This function can be used to estimate age-at-death with the choice of using Middenbeemster as the default reference population or incorporating a different reference population.

bamsaur(
  wear,
  ref_pop = NULL,
  degree = 2,
  interval = "prediction",
  level = 0.68,
  ...
)

Arguments

wear

Numeric. Dental wear scores for age estimation. Can be a single number or an array.

ref_pop

Reference population used to estimate age from wear scores. Default is the built-in "MB11" population. Other reference populations can be supplied with a data frame/matrix containing ages-at-death in the first column and wear scores in the second column.

degree

Numeric. Degree of polynomial for the model. 1 = linear regression, 2+ = polynomial regression. Default is 2.

interval

Character. Type of interval for age estimates. Options are "prediction" and "confidence".

level

Numeric. Level for the confidence and prediction intervals. Must be a number between 0 and 1.