Other packages > Find by keyword >

CausalSpline  

Nonlinear Causal Dose-Response Estimation via Splines
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CausalSpline", "0.1.0")



Attach the package and use:
library("CausalSpline")
Maintained by
Subir Hait
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-25
Latest Update: 2026-03-25
Description:
Estimates nonlinear causal dose-response functions for continuous treatments using spline-based methods under standard causal assumptions (unconfoundedness / ignorability). Implements three identification strategies: Inverse Probability Weighting (IPW) via the generalised propensity score (GPS), G-computation (outcome regression), and a doubly-robust combination. Natural cubic splines and B-splines are supported for both the exposure-response curve f(T) and the propensity nuisance model. Pointwise confidence bands are obtained via the sandwich estimator or nonparametric bootstrap. Also provides fragility diagnostics including pointwise curvature-based fragility, uncertainty-normalised fragility, and regional integration over user-defined treatment intervals. Builds on the framework of Hirano and Imbens (2004) <doi:10.1111/j.1468-0262.2004.00481.x> for continuous treatments and extends it to fully nonparametric spline estimation.
How to cite:
Subir Hait (2026). CausalSpline: Nonlinear Causal Dose-Response Estimation via Splines. R package version 0.1.0, https://cran.r-project.org/web/packages/CausalSpline. Accessed 06 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited CausalSpline R package
View CausalSpline citation profile
Other R packages that CausalSpline depends, imports, suggests or enhances
Complete documentation for CausalSpline
Functions, R codes and Examples using the CausalSpline R package
Full CausalSpline package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

datawizard  
Easy Data Wrangling and Statistical Transformations
A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling ...
Download / Learn more Package Citations See dependency  
selectapref  
Analysis of Field and Laboratory Foraging
Provides indices such as Manly's alpha, foraging ratio, and Ivlev's selectivity to allow for analysi ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
geoR  
Analysis of Geostatistical Data
Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software c ...
Download / Learn more Package Citations See dependency  
sSDR  
Tools Developed for Structured Sufficient Dimension Reduction (sSDR)
Performs structured OLS (sOLS) and structured SIR (sSIR). ...
Download / Learn more Package Citations See dependency  
AcrossTic  
A Cost-Minimal Regular Spanning Subgraph with TreeClust
Construct minimum-cost regular spanning subgraph as part of a non-parametric two-sample test for eq ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

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