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PND.heter.cluster  

Estimating the Cluster Specific Treatment Effects in Partially Nested Designs
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/PND.heter.cluster")

Install by package version:
library("remotes")
install_version("PND.heter.cluster", "0.1.0")



Attach the package and use:
library("PND.heter.cluster")
Maintained by
Xiao Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-05
Latest Update: 2025-06-05
Description:
Implements the methods for assessing heterogeneous cluster-specific treatment effects in partially nested designs as described in Liu (2024) <doi:10.1037/met0000723>. The estimation uses the multiply robust method, allowing for the use of machine learning methods in model estimation (e.g., random forest, neural network, and the super learner ensemble).Partially nested designs (also known as partially clustered designs) are designs where individuals in the treatment arm are assigned to clusters (e.g., teachers, tutoring groups, therapists), whereas individuals in the control arm have no such clustering.
How to cite:
Xiao Liu (2025). PND.heter.cluster: Estimating the Cluster Specific Treatment Effects in Partially Nested Designs. R package version 0.1.0, https://cran.r-project.org/web/packages/PND.heter.cluster. Accessed 24 Oct. 2026.
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