Title: Efficient Mixed-Level k-Circulant Supersaturated Designs
Description: Generates efficient balanced mixed-level k-circulant supersaturated designs by interchanging the elements of the generator vector. Attempts to generate a supersaturated design that has EfNOD efficiency more than user specified efficiency level (mef). Displays the progress of generation of an efficient mixed-level k-circulant design through a progress bar. The progress of 100 per cent means that one full round of interchange is completed. More than one full round (typically 4-5 rounds) of interchange may be required for larger designs. For more details, please see Mandal, B.N., Gupta V. K. and Parsad, R. (2011). Construction of Efficient Mixed-Level k-Circulant Supersaturated Designs, Journal of Statistical Theory and Practice, 5:4, 627-648, <doi:10.1080/15598608.2011.10483735>.

Title: Measurement Model of Derivatives in 'OpenMx'
Description: Provides a convenient interface in 'OpenMx' for building
Estabrook's (2015) <doi:10.1037/a0034523> Measurement Model of
Maintainer: Kyle D. Husmann <kdh38@psu.edu>

Title: Apply Normalization Methods to Multiplexed Images
Description: Implements methods to normalize multiplexed imaging data, including
statistical metrics and visualizations to quantify technical variation in
Suggests: knitr, janitor (>= 2.1.0), testthat (>= 3.0.0), rmarkdown,
Imports: magrittr, dplyr, rlang, fda, stats, data.table, reticulate,
caret, e1071, ggplot2, tidyr, uwot, lme4, stringr, KernSmooth,
Author: Coleman Harris [aut, cre] (<https://orcid.org/0000-0002-6325-0694>)

this data type. Reference for methods listed here: Harris, C., Wrobel, J.,
& Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging
Data. Journal of Open Source Software, 7(71), 4180,

Title: A framework to perform phylotranscriptomics analyses for
Description: The present collection of functions can be used to perform
phylotranscriptomics analyses to investigate phenomena
within the field of Evolutionary Developmental Biology
Suggests: knitr (>= 1.6), rmarkdown (>= 0.3.3), devtools (>= 1.6.1)