hgwrr's Introduction

hgwrr

This package is provides R interfaces to calibrate the Hierarchical and Geographically Weighted Regression (HGWR) model.

Installation

The package now is on CRAN.

install.packages("hgwrr")

If you want to install the latest version from GitHub, note that the packages relies on a submodule from hpdell/hgwr. So install_github() from the devtools package is probably not working. Instead, it's better to recursively clone the package.

git clone --recursive https://github.com/hpdell/hgwrr
R CMD INSTALL hgwrr

Basic Usage

Here is a quick example showing how it works.

library(hgwrr)
data(multisampling)
hgwr(
  formula = y ~ L(g1 + g2) + x1 + (z1 | group),
  data = multisampling$data,
  coords = multisampling$coords,
  bw = 10
)

For further information, please read this article. There is a full example.

Reference

Hu, Yigong, Lu, Binbin, Ge, Yong, Dong, Guanpeng, 2022. Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression. Environment and Planning B: Urban Analytics and City Science. DOI
Yigong Hu, Richard Harris, Richard Timmerman, and Binbin Lu. A Hierarchical and Geographically Weighted Regression Model and Its Backfitting Maximum Likelihood Estimator (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 39:1-39:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) DOI

hgwrr's People

Contributors

Watchers

hgwrr's Issues

Check arguments at function beginning

In function hgwr() arguments are not checked before sending to C++ backend.

CRS in document of R dataset wuhan.hp is incorrect

The true CRS is EPSG:4547.

[R] Other methods for weighted LSE / MLE fitted models

A vignette?

Is it possible and good to include a vignette in the R package?

incorrect use of RcppArmadillo / Armadillo within R environment

@HPDell The hgwrr package for R incorrectly uses the armadillo header within R environment.

The hgwrr package erroneously includes the <armadillo> header instead of <RcppArmadillo.h> in several places:

<RcppArmadillo.h> is a wrapper around <armadillo>, and configures armadillo internals for compatibility with the R environment.

By not including <RcppArmadillo.h>, the hgwrr package ends up using an "unconfigured" instance of armadillo. This leads to problems like the use of std::cerr.

Additionally, the hgwrr package defines ARMA_NO_DEBUG, which was always risky and ill-advised. Newer versions of Armadillo ignore the old ARMA_NO_DEBUG macro.