plot_n

This function plots non-spatially varying coefficients (NVCs; coefficients varying with respect to explanatory variable value) and their 95 percent confidence intervals

Functions for estimating spatial varying coefficient models, mixed models, and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate spatial Gaussian processes. These processes are used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2021) <arXiv:1703.04467>.

Daisuke Murakami

spmoran

Fast Spatial Regression using Moran Eigenvectors

plot_n function

<dl><dt>mod</dt>
<dd>Outpot from <code>resf</code>, <code>besf</code>, <code>resf_vc</code>, or <code>besf_vc</code> function</dd><dt>xnum</dt>
<dd>The NVC on the xnum-th explanatory variable is plotted. Default is 1</dd><dt>xtype</dt>
<dd>Effective for <code>resf_vc</code> and <code>besf_vc</code>. If "x", the num-th NVC in the spatially and non-spatially varying coefficients on x is plotted. If "xconst", the num-th NVC on xconst is plotted. Default is "x"</dd><dt>cex.lab</dt>
<dd>The size of the x and y axis labels</dd><dt>cex.axis</dt>
<dd>The size of the tick label numbers</dd><dt>lwd</dt>
<dd>The width of the line drawing the coefficient estimates</dd><dt>ylim</dt>
<dd>The limints of the y-axis</dd><dt>nmax</dt>
<dd>If sample size exceeds nmax, nmax samples are randomly selected and plotted. Default is 20,000</dd></dl>

Arguments

Plot non-spatially varying coefficients (NVCs) — plot_n

<dl>

<dt>mod</dt>
<dd>Outpot from <code>resf</code>, <code>besf</code>, <code>resf_vc</code>, or <code>besf_vc</code> function</dd>

<dt>xnum</dt>
<dd>The NVC on the xnum-th explanatory variable is plotted. Default is 1</dd>

<dt>xtype</dt>
<dd>Effective for <code>resf_vc</code> and <code>besf_vc</code>. If "x", the num-th NVC in the spatially and non-spatially varying coefficients on x is plotted. If "xconst", the num-th NVC on xconst is plotted. Default is "x"</dd>

<dt>cex.lab</dt>
<dd>The size of the x and y axis labels</dd>

<dt>cex.axis</dt>
<dd>The size of the tick label numbers</dd>

<dt>lwd</dt>
<dd>The width of the line drawing the coefficient estimates</dd>

<dt>ylim</dt>
<dd>The limints of the y-axis</dd>

<dt>nmax</dt>
<dd>If sample size exceeds nmax, nmax samples are randomly selected and plotted. Default is 20,000</dd>

</dl>

plot_n: Plot non-spatially varying coefficients (NVCs)

Description

Usage

Arguments

See Also