Prediction Limits for Poisson Distribution
c(person("Valbona", "Bejleri",
role = "aut",
email = "valbona.bejleri@gmail.com",
comment = c(ORCID = "0000-0001-9828-968X")),
person("Luca", "Sartore",
role = c("aut", "cre"),
email = "drwolf85@gmail.com",
comment = c(ORCID = "0000-0002-0446-1328")),
person("Balgobin", "Nandram",
role = "aut",
email = "balnan@wpi.edu",
comment = c(ORCID = "0000-0002-3204-0301")))
Valbona Bejleri [aut] (<https://orcid.org/0000-0001-9828-968X>),
Luca Sartore [aut, cre] (<https://orcid.org/0000-0002-0446-1328>),
Balgobin Nandram [aut] (<https://orcid.org/0000-0002-3204-0301>)
Prediction limits for the Poisson distribution
are produced from both frequentist and Bayesian viewpoints. Limiting results
are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior
distributions. More details on the methodology are discussed in Bejleri and
Nandram (2018) <doi:10.1080/03610926.2017.1373814>.

Prediction limits for the Poisson distribution
are produced from both frequentist and Bayesian viewpoints. Limiting results
are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior
distributions. More details on the methodology are discussed in Bejleri and
Nandram (2018) <doi:10.1080/03610926.2017.1373814> and Bejleri, Sartore and
Nandram (2021) <doi:10.1007/s42952-021-00157-x>.

pls
0.1-1
Mike Denham   snsdenhm@reading.ac.uk
R port by Kjetil Halvorsen
R code for performing
univariate Partial Least Squares Regression.
This software may be freely used for non-commercial purposes and can
be freely distributed.

pls
0.1-2
Partial Least Squares Regression
Mike Denham   <snsdenhm@reading.ac.uk>
R port by Kjetil Halvorsen <khal@alumni.uv.es>
R code for performing
univariate Partial Least Squares Regression.
This software may be freely used for non-commercial purposes
and can be freely distributed.

Mike Denham   <snsdenhm@reading.ac.uk>
R port by Kjetil Halvorsen <kjetilh@umsanet.edu.bo>

Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR)
Bjørn-Helge Mevik and Ron Wehrens <pls@mevik.net>
Multivariate regression by partial least squares
regression (PLSR) and principal components regression (PCR).
This package supersedes the pls.pcr package.