WeightMatrix

square matrix of dimension $n\times  n$, where $n$ is the number of
    contextual units.

distance.matrix

scalar numeric value specifying the bandwidth $h$

bandwidth

function applied to the distance matrix. By default <code>NULL</code>, in which
    case the kernel function $$w_{ij}=f(d,h) =
      \left(\frac{1}{2}\right)^{d_{ij}^2/h^2}$$ is used, where $w_{ij}, d_{ij}, h$ are elements of the weight matrix $\mathbf{W}

kernel

a logical value specifying whether the proximity weights matrix
    should have zeros in the diagonal. By default set to <code>FALSE</code>.

moran

Creates a weight matrix corresponding to a given distance matrix, bandwidth and
  kernel function for spatially weighted multilevel analysis.

spacom

SpawML

Constructs and describes spatially weighted context data
        from micro-level survey data by aggregation or from precise
        contextual indicators. Performs multilevel analyses where
        spatially weighted context data are combined with individual
        level predictor and outcome variables. Computes robust point
        estimates and standard errors by stratified resampling.
        Provides estimates of explained spatial dependency.

WeightMatrix: Create weight matrices

Description

Usage

Arguments

Value

Examples