R package for statistical inference using partially observed Markov processes

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

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

measurement error correction

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.

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

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)

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

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

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

Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics

Fit Poolwise Regression Models

A Shiny app that illustrates the relationship between reliability and measurement error.

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

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.