Carry out a validation

Usage

run_valid(
  modern_elevation = NULL,
  modern_species = NULL,
  n_folds = 1,
  use_uniform_prior = FALSE,
  dx = 0.2,
  modern.iter = 40000,
  modern.burnin = 10000,
  modern.thin = 15,
  core.iter = 15000,
  core.burnin = 1000,
  core.thin = 7,
  scale_x = FALSE
)

Arguments

modern_elevation: A dataframe of modern elevations
modern_species: A dataframe of modern counts (to be sorted with sort_modern)
n_folds: Number of folds for CV
use_uniform_prior: change prior on elevation to be uniform
dx: The elevation interval for spacing the spline knots. Defaults to 0.2.
modern.iter: The number of iterations for the modern model
modern.burnin: The number of burnin samples for the modern model
modern.thin: The number of thinning for the modern model
core.iter: The number of iterations for the core model
core.burnin: The number of burnin samples for the core model
core.thin: The number of thinning for the core model
scale_x: Set to TRUE to scale elevation data to have mean 0 and sd 1

Value

A tibble of validation results