General purpose TIFF file I/O for R users.  Currently the
only such package with read and write support for TIFF files with
floating point (real-numbered) pixels, and the only package that can
correctly import TIFF files that were saved from 'ImageJ' and write
TIFF files than can be correctly read by 'ImageJ'
<https://imagej.nih.gov/ij/>. Also supports text image I/O.

Consistency, Homogeneity and Summary Statistics of
Climatological Data
The package offers an S4 infrastructure to store climatological
station data of various temporal aggregation scales. In-built quality
control and homogeneity tests follow the methodology from the European
Climate Assessment & Dataset project. Wrappers for climate indices
defined by the Expert Team on Climate Change Detection and Indices
(ETCCDI), a quick summary of important climate statistics and climate
diagram plots provide a fast overview of climatological
characteristics of the station.
methods, zoo, lubridate, climdex.pcic (>= 1.1-1), PCICt

Lee-Carter Mortality Models using Iterative Fitting Algorithms
R (>= 3.0.3), demography, rainbow, forecast, date
Zoltan Butt, Steven Haberman and Han Lin Shang
Fitting a class of Lee-Carter mortality models using iterative fitting algorithm.

Imprecise Inferential Framework for Poisson Sampling Models
c(person(given="Chel Hee", family="Lee", email="chl948@mail.usask.ca", role=c("aut", "cre", "cph")), person(given="Mikelis", family="Bickis", role=c("aut", "ths", "cph"), email="bickis@snoopy.usask.ca"))
Chel Hee Lee [aut, cre, cph], Mikelis Bickis [aut, ths, cph]
A collection of tools needed for conducting imprecise inferential framework is provided.   Poisson sampling model and zero-truncated Poisson sampling models are mainly studied as the part of larger project, Imprecise Probability Estimates for Generalized Linear Model.  Imprecise probability theory introduced by Peter Wally in 1991 is the basis of this inference.

Imprecise Inferential Framework for Poisson Sampling Model
A collection of tools for conducting an imprecise inference is provided.   Imprecise prior is used for this inference, and imprecise probability theory introduced by Peter Walley (1991) is its underlying theoretical foundation.   The package is developed based on the PhD thesis work of Lee (2014).  Poisson and zero-truncated Poisson sampling models are mainly studied with two types of prior distributions.
geometry, grDevices, graphics, stats, utils, rgl