Package: ncimultivar
Type: Package
Title: Multivariate NCI Method
Version: 1.0.5
Authors@R: c(person("Amer", "Moosa", role = c("aut", "cre"),
		    email = "moosaa@imsweb.com"),
	     person("Barrett", "Brian", role = "ctb",
		    email = "barrettb@imsweb.com"),
	     person("Chaloux", "Matthew", role = "ctb",
		    email = "chalouxm@imsweb.com"),
	     person("National Cancer Institute", role = "cph"))
Description: Measurement error correction using the multivariate method developed by the 
	National Cancer Institute (NCI). Both episodically consumed foods and daily consumed 
	nutrients can be handled. Includes functions to fit a measurement error model using 
	a Markov Chain Monte Carlo (MCMC) procedure and to generate a dataset of simulated
	usual intakes used to represent the distribution of true usual intakes. Also provides
	tools for preparing the data for the MCMC algorithm as well as statistical 
	summary functions. 
	Please cite Zhang, S., et al. (2011) <doi:10.1214/10-AOAS446> for the MCMC algorithm 
	and Bhadra, A., et al. (2024) <doi:10.1007/s10985-024-09627-w> for models with
	never-consumers for an episodically consumed food. Other references are listed.
	Truncated Normal Sampler: Robert, C. (1995) <doi:10.1007/BF00143942>.
	Bivariate Normal Cumulative Distribution: Johnson, N. and Kotz, S. (1972, ISBN:978-0471443704).
	Multivariate Normal Cumulative Distribution: Genz, A. (1992) <doi:10.2307/1390838>.
        Gelman-Rubin Test: Gelman, A. and Rubin, D. (1992) <doi: 10.1214/ss/1177011136>.
	Gelman-Rubin Convergence Criteria: Gelman, et al. (2004) <ISBN: 158488388X>.
License:
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: stats, utils, methods, graphics
Suggests: knitr, rmarkdown
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
NeedsCompilation: no
Packaged: 2025-08-18 19:05:33 UTC; moosaa
Author: Amer Moosa [aut, cre],
  Barrett Brian [ctb],
  Chaloux Matthew [ctb],
  National Cancer Institute [cph]
Maintainer: Amer Moosa <moosaa@imsweb.com>
