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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite MRMCaov in publications, please use the following two references, including the R package URL.
Smith BJ, Hillis SL, Pesce LL (2023). MCMCaov: Multi-Reader Multi-Case Analysis of Variance. R package version 0.3.0, https://github.com/brian-j-smith/MRMCaov.
Smith BJ, Hillis SL (2020). “Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities.” In Samuelson F, Taylor-Phillips S (eds.), Proceedings of SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 113160K. doi:10.1117/12.2549075, https://pubmed.ncbi.nlm.nih.gov/32351258.
Corresponding BibTeX entries:
@Manual{MRMCaov-package, author = {Brian J Smith and Stephen L Hillis and Lorenzo L Pesce}, title = {{MCMCaov}: Multi-Reader Multi-Case Analysis of Variance}, year = {2023}, note = {R package version 0.3.0}, url = {https://github.com/brian-j-smith/MRMCaov}, }
@InProceedings{MRMCaov-SPIE2020, author = {Brian J. Smith and Stephen L. Hillis}, title = {Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities}, booktitle = {Proceedings of SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment}, editor = {Frank Samuelson and Sian Taylor-Phillips}, month = {16 March}, year = {2020}, pages = {113160K}, doi = {10.1117/12.2549075}, url = {https://pubmed.ncbi.nlm.nih.gov/32351258}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.