imPois: Imprecise Inference for Poisson Sampling Models

Tools performing an imprecise inference for estimating the parameter of Poisson sampling model. Extended the original work done in the PhD thesis of Lee (2014). The theory of imprecise probabilities introduced by Peter Walley in 1991 becomes the basis of this inferential framework.

Install the latest version of this package by entering the following in R:
install.packages("imPois")
AuthorChel Hee Lee [aut, cre, cph], Mikelis Bickis [ths, cph]
Date of publication2017-03-05 17:26:14
MaintainerChel Hee Lee <chl948@mail.usask.ca>
LicenseGPL (>= 2)
Version0.1.4
http://r-forge.r-project.org/projects/ipeglim/

View on CRAN

Files

inst
inst/fig01.R inst/app01.R inst/fig02m.R inst/app02.R inst/fig05.R
inst/00Index
inst/doc
inst/doc/imPoisVignette.pdf
inst/doc/imPoisVignette.Rnw
inst/doc/imPoisVignette.R inst/fig04.R inst/fig03.R inst/fig02.R
NAMESPACE
R
R/imPoisM.R R/imTools.R R/imZTPoisM.R R/imGraphics.R R/imPoisC.R R/optim.R R/imCoords.R
vignettes
vignettes/fig
vignettes/fig/app01.pdf
vignettes/fig/app02.pdf
vignettes/imPoisVignette.Rnw
vignettes/imPois.bib
MD5
build
build/vignette.rds
DESCRIPTION
man
man/cpm.Rd man/update.Rd man/bary2cart.Rd man/iprior.Rd man/print.Rd man/plot.Rd man/summary.Rd man/hparaOptim.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.