| anyNA.sk | Check for presence of grid points with missing data (NAs) |
| as.double.sk | Coerce grid values to numeric (double type) |
| as.integer.sk | Coerce grid values to integer |
| as.logical.sk | Coerce grid values to logical |
| as.matrix.sk | convert to matrix |
| as.vector.sk | Convert grid data to vector of specified mode |
| dim.sk | Grid dimensions |
| is.na.sk | Indices of grid points with missing data (NAs) |
| length.sk | The number of grid-points |
| Math.sk | Math group generics |
| mean.sk | Calculate the mean value in a grid |
| Ops.sk | Operations group generics |
| plot.sk | Heatmap plots |
| print.sk | Auto-printing |
| sk | Make a snapKrig grid list object |
| sk_cmean | Compute kriging predictor (or variance) for an sk grid |
| sk_coords | Return coordinates of a grid of points in column-vectorized order |
| sk_export | Convert "sk" grid to SpatRaster |
| sk_fit | Fit a covariance model to an sk grid by maximum likelihood |
| sk_GLS | Generalized least squares (GLS) with Kronecker covariances for sk grids |
| sk_LL | Likelihood of covariance model 'pars' given the data in sk grid 'g' |
| sk_nLL | Negative log-likelihood for parameter vector 'p' |
| sk_pars | Initialize Kronecker covariance function parameters for a sk grid |
| sk_plot | Plot grid data |
| sk_plot_pars | Plot the covariance structure of a snapKrig model |
| sk_plot_semi | Plot a semi-variogram |
| sk_rescale | Up or down-scale a sk grid by an integer factor |
| sk_sample_vg | Sample point pair absolute differences for use in semi-variogram estimation |
| sk_sim | Random draw from multivariate normal distribution for sk grids |
| sk_snap | Snap a set of points to a "sk" grid |
| sk_var | Generate a covariance matrix or its factorization |
| summary.sk | Grid summary |
| [.sk | Extract a sk list element (single-bracket access) |
| [<-.sk | Single-bracket assign |
| [[.sk<- | sk_methods.R Dean Koch, 2022 S3 methods for sk grid list objects |