Reddit reviews Spatial Statistics and Geostatistics: Theory and Applications for Geographic Information Science and Technology (SAGE Advances in Geographic Information Science and Technology Series)

On mobile but this is copied and pasted from a comment I made awhile back.

Most of my personal R code for spatial analysis is largely uncommented but I will share some resources I base a lot it off of.

Books:

• Applied Spatial Analysis with R
  
• Spatial Epidemiology Notes - Applications and Vignettes in R
  
• An Introduction to R for Spatial Analysis
  
• Spatial Statistics & Geostatistics
  
• Discovering Statistics with R - nonspatial statistics but still has helped me.
  
• SAS for Epidemiologist
  
• Spatial and Spatio-temporal Bayesian Models with R - INLA
  
  Websites:
  
• UCLA Stats
  
• Curriculum for Urban Injury Research and Epidemiology
  
• Spatial Demography
  
• spatioanalytics
  
• ZevRoss Tech Blog
  
• University of Oregon's GEOG 4/595: Geographic Data Analysis
  
• Datacamp
  
• Spatial data science in R
  
• Geospatial Data science
  
  Rpubs:
  
• Basic R GIS Stuff
  
• More Basic GIS
  
• Health & Demography Rpubs
  
• GWR
  
  Python:
  
• Not R but Pandas, Geopandas, Folium, and Pysal
  
• Geographic Data Science with PySAL and the pydata stack
  
  Edit: I used to work in public health academia so the links are geared towards that field.

Have you tried the packages spdep, spatstat, gstat? In the class I took on this subject, we used these packages along with maptools and GISTools to avoid Arc entirely. This book was our reference:
https://www.amazon.com/Introduction-Spatial-Analysis-Mapping/dp/1446272958

If I'm not mistaken, the package spdep was developed by the authors of these books:
https://www.amazon.com/Applied-Spatial-Data-Analysis-Use/dp/1461476178
https://www.amazon.com/Spatial-Statistics-Geostatistics-Applications-Information/dp/1446201740

Were you instructed to use geoRglm?