/**
 * Compute spatial lag of a list of values based on a list of neighbors and weights.
 *
 * ## Example
 * ```ts
 * import { spatialLag } from '@geoda/lisa';
 *
 * const values = [1, 2, 3, 4, 5];
 * const neighbors = [[1], [0, 2], [1, 3], [2, 4], [3]];
 *
 * const result = spatialLag(values, neighbors);
 *
 * console.log(result);
 * ```
 *
 * @param values The numeric values to compute spatial lag for.
 * @param neighbors The list of neighbors for each value.
 * @param weights The weight values for each neighbor.
 * @param useSelfNeighbor The flag to include self as a neighbor.
 * @param rowStandardize The flag to row standardize the spatial lag.
 * @returns The spatial lag values.
 */
export declare function spatialLag(values: number[], neighbors: number[][], rowStandardize?: boolean, weights?: number[][], useSelfNeighbor?: boolean): number[];
/**
 * Compute the median spatial lag of a list of values based on a list of neighbors and weights using the mean function.
 *
 * ## Example
 * ```ts
 * import { spatialLagMedian } from '@geoda/lisa';
 *
 * const values = [1, 2, 3, 4, 5];
 * const neighbors = [[1], [0, 2], [1, 3], [2, 4], [3]];
 *
 * const result = spatialLagMedian(values, neighbors);
 *
 * console.log(result);
 * ```
 *
 * @param values The numeric values to compute spatial lag for.
 * @param neighbors The list of neighbors for each value.
 * @returns The spatial lag values.
 */
export declare function spatialLagMedian(values: number[], neighbors: number[][]): number[];