tulpa_variogram: Empirical semivariogram of residuals

In tulpa: Templated Unified Library for Posterior Approximation in Bayesian Hierarchical Models

Empirical semivariogram of residuals

Description

Computes the empirical semivariogram in distance bins for visual assessment of remaining spatial structure in residuals.

Usage

tulpa_variogram(
  object,
  coords,
  n_bins = 15L,
  max_dist = NULL,
  resid_type = "pearson"
)

## S3 method for class 'tulpa_variogram'
plot(x, ...)

## S3 method for class 'tulpa_variogram'
print(x, ...)

Arguments

object	A fitted model, or a numeric vector of residuals
coords	N x 2 coordinate matrix (required)
n_bins	Number of distance bins (default 15)
max_dist	Maximum distance (default: half the maximum pairwise distance)
resid_type	Residual type if extracting from model (default "pearson")
x	A tulpa_variogram table.
...	Passed to graphics::plot() by plot() and to print() by print().

Value

A tulpa_variogram data.frame with columns dist, gamma, n_pairs

plot() draws the semivariance against distance, point size scaled by the pair count, and returns x invisibly.

Examples

set.seed(1)
coords <- cbind(runif(60), runif(60))
tulpa_variogram(rnorm(60), coords, n_bins = 5)

tulpa documentation built on Oct. 19, 2026, 5:09 p.m.