R package for statistical inference using partially observed Markov processes
-
Updated
Aug 25, 2024 - R
R package for statistical inference using partially observed Markov processes
lpme provides tools for analyzing latent variable models with measurement error correction, particularly in scenarios with identification restrictions. It implements various correction methods and uses partitioning + bootstrapping for standard errors.
Replication files for Addressing Measurement Errors in Ranking Questions for the Social Sciences
Package to produce quantities of interest from rank order questions after correcting for bias from random responses.
Replication code continuing updates to Michler, J.D., Josephson, A., Kilic, T., and Murray, S. (2021). "Estimating the Impact of Weather on Agriculture." World Bank Policy Research Working Paper, No. 9867.
batchtma: R package to adjust for batch effects, for example between tissue microarrays
Replication Code for Michler, J.D., Josephson, A., Kilic, T., and Murray, S. Forthcoming. “Privacy Protection, Measurement Error, and the Integration of Remote Sensing and Socioeconomic Survey Data.” Journal of Development Economics.
Reliability and Measurement Error in Psychometrics
An R Package for Two-Stage Path Analysis (2S-PA)
A package for a more general, more straightforward, and more creative conjoint analysis
R package for Statistical Modeling of Animal Movements
Supplementary material and reproducible research files for article “A joint Bayesian framework for missing data and measurement error using integrated nested Laplace approximations” by Emma Skarstein, Sara Martino and Stefanie Muff.
A Shiny app that illustrates the relationship between reliability and measurement error.
An R package for fitting state-space models to repeated measures of multiple individuals with covariates
Plugin to the Quantum Machine Learning library PennyLane adding MEM
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
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)
Uncertainty or Standard Error of Mean propagation using Delta and Monte Carlo methods
Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics
Add a description, image, and links to the measurement-error topic page so that developers can more easily learn about it.
To associate your repository with the measurement-error topic, visit your repo's landing page and select "manage topics."