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RobustFlow  

Robustness and Drift Auditing for Longitudinal Decision Systems
View on CRAN: Click here


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

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

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



Attach the package and use:
library("RobustFlow")
Maintained by
Subir Hait
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-22
Latest Update: 2026-04-22
Description:
Provides tools for constructing longitudinal decision paths, quantifying temporal drift, tracking subgroup disparity trajectories, and stress-testing longitudinal conclusions under hidden bias. Implements three signature metrics: the Drift Intensity Index (DII), which measures structural instability in transition dynamics using the Frobenius norm of consecutive transition matrix differences; the Bias Amplification Index (BAI), which quantifies whether group disparities widen or converge over time; and the Temporal Fragility Index (TFI), which estimates the minimum hidden-bias perturbation required to nullify a longitudinal trend conclusion. An interactive 'shiny' application supports exploratory analysis, visualization, and reproducible reporting. Methods are motivated by applications in educational and social science research, including the Early Childhood Longitudinal Study (ECLS). The DII is based on the Frobenius norm as described in Golub and Van Loan (2013, ISBN:9781421407944). The TFI extends the hidden-bias sensitivity framework of Rosenbaum (2002, ISBN:9781441912633). The BAI draws on disparity-trajectory methods discussed in Duncan and Murnane (2011, ISBN:9780871542731).
How to cite:
Subir Hait (2026). RobustFlow: Robustness and Drift Auditing for Longitudinal Decision Systems. R package version 0.1.1, https://cran.r-project.org/web/packages/RobustFlow. Accessed 26 Jun. 2026.
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