Other packages > Find by keyword >

spconf  

Computing Scales of Spatial Smoothing for Confounding Adjustment
View on CRAN: Click here


Download and install spconf package within the R console
Install from CRAN:
install.packages("spconf")

Install from Github:
library("remotes")
install_github("cran/spconf")

Install by package version:
library("remotes")
install_version("spconf", "1.0.1")



Attach the package and use:
library("spconf")
Maintained by
Kayleigh Keller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-03
Latest Update: 2024-11-03
Description:
Computes the effective range of a smoothing matrix, which is a measure of the distance to which smoothing occurs. This is motivated by the application of spatial splines for adjusting for unmeasured spatial confounding in regression models, but the calculation of effective range can be applied to smoothing matrices in other contexts. For algorithmic details, see Rainey and Keller (2024) "spconfShiny: an R Shiny application..." <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.
How to cite:
Kayleigh Keller (2024). spconf: Computing Scales of Spatial Smoothing for Confounding Adjustment. R package version 1.0.1, https://cran.r-project.org/web/packages/spconf. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited spconf R package
View spconf citation profile
Other R packages that spconf depends, imports, suggests or enhances
Complete documentation for spconf
Functions, R codes and Examples using the spconf R package
Full spconf package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA