coef_marginal

Output from <code><a rd-options="" href="/link/resf?package=spmoran&version=0.2.1" data-mini-rdoc="spmoran::resf">resf</a></code>

This function evaluates the marginal effects of x based on the estimation result of <code><a rd-options="" href="/link/resf?package=spmoran&version=0.2.1" data-mini-rdoc="spmoran::resf">resf</a></code>. This funtion works if y is transformed (i.e., tr_num &gt; 0 or tr_nonneg =TRUE) in <code><a rd-options="" href="/link/resf?package=spmoran&version=0.2.1" data-mini-rdoc="spmoran::resf">resf</a></code>.

Functions for estimating spatial additive mixed models and other spatial regression models for Gaussian and non-Gaussian data. Moran eigenvectors are used to an approximate Gaussian process modeling which is interpretable in terms of the Moran coefficient. The GP is used for modeling the spatial processes in residuals and regression coefficients. For details see Murakami (2020) <arXiv:1703.04467>.

Daisuke Murakami

spmoran

Moran Eigenvector-Based Scalable Spatial Additive Mixed Models

coef_marginal function

Output from <code><a rd-options='' href='resf'>resf</a></code>

This function evaluates the marginal effects of x based on the estimation result of <code><a rd-options='' href='resf'>resf</a></code>. This funtion works if y is transformed (i.e., tr_num &gt; 0 or tr_nonneg =TRUE) in <code><a rd-options='' href='resf'>resf</a></code>.

coef_marginal: Marginal effects evaluation

Description

Usage

Arguments

Value

See Also