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apm  

Averaged Prediction Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("apm", "0.1.1")



Attach the package and use:
library("apm")
Maintained by
Thomas Leavitt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-10
Latest Update: 2025-05-22
Description:
In panel data settings, specifies set of candidate models, fits them to data from pre-treatment validation periods, and selects model as average over candidate models, weighting each by posterior probability of being most robust given its differential average prediction errors in pre-treatment validation periods. Subsequent estimation and inference of causal effect's bounds accounts for both model and sampling uncertainty, and calculates the robustness changepoint value at which bounds go from excluding to including 0. The package also includes a range of diagnostic plots, such as those illustrating models' differential average prediction errors and the posterior distribution of which model is most robust.
How to cite:
Thomas Leavitt (2025). apm: Averaged Prediction Models. R package version 0.1.1, https://cran.r-project.org/web/packages/apm. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.0 (2025-03-10 17:50)
Other packages that cited apm R package
View apm citation profile
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Complete documentation for apm
Functions, R codes and Examples using the apm R package
Full apm package functions and examples
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