In axlehner/SpatialInference: Tools for Statistical Inference with Geo-Coded Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
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SpatialInference

Package containes helper functions to do inference with spatial data in R. Most importantly, the fast C++ implementation for Conley (spatial HAC) standard errors by Darin Christensen and a function to estimate the correlation range of regression residuals.

Functions (actual and sheduled)

Installation

You can install the development version from GitHub with:

#install.packages("devtools")
#devtools::install_github("axlehner/SpatialInference")

Example

This is a basic example which shows you how to solve a common problem:

library(SpatialInference)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)

You'll still need to render README.Rmd regularly, to keep README.md up-to-date.

Known Errors

Fortran compiler on MaxOS: https://github.com/RubD/Giotto_site/issues/11

worked without the last one: the pointer to the direction

axlehner/SpatialInference documentation built on Jan. 28, 2025, 3:19 p.m.