measurement-error

R package for statistical inference using partially observed Markov processes

A package for a more general, more straightforward, and more creative conjoint analysis

AIDE Lab repository for LSMS-ISA and remotely sensed weather data cleaning code.

An R package for fitting state-space models to repeated measures of multiple individuals with covariates

measurement error correction

[Political Analysis 2026] lpmec provides tools for analyzing latent variable models with measurement error correction. Particularly in scenarios with identification restrictions. It implements various correction methods. Partitioning + bootstrapping for standard errors.

Package to produce quantities of interest from rank order questions after correcting for bias from random responses.

Raw files for a document examining the use of latent variable and sum scores for secondary analysis.

R package for Statistical Modeling of Animal Movements

Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods

An R Package for Two-Stage Path Analysis (2S-PA)

Created a model to estimate the measurement error existing in ROC curves - Measurement Error model, Bernstein polynomial Model, Contaminated Non-parametric Density Estimation, MLE, EM Algorithm, R

Plugin to the Quantum Machine Learning library PennyLane adding MEM

Replication files for "Addressing Measurement Errors in Ranking Questions for the Social Sciences"

Reliability and Measurement Error in Psychometrics

batchtma: R package to adjust for batch effects, for example between tissue microarrays

Code for simulation studies in "An approximate quasi-likelihood approach for error-prone failure time outcomes and exposures", Boe et al. (2021) (https://doi.org/10.1002/sim.9108)

Replication Code for Michler, J.D., Josephson, A., Kilic, T., and Murray, S. (2022). “Privacy Protection, Measurement Error, and the Integration of Remote Sensing and Socioeconomic Survey Data.” Journal of Development Economics 158: 102927.

Does a clothing size label measure the body, or the desire? A feasibility study on public marketplace review data, and why it cannot answer the question.

PyTorch research tools for convMMD deconvolution, posterior-mean denoising, and measurement-error regression.