Incorporating Uncertainties in Propensity Scores
Weihua An, Huizi Xu, and Zhida Zheng, Indiana University
Bloomington
This package includes functions to incorporate
uncertainties in estimated propensity scores and provide
adjusted standard errors for making valid causal inference.

Produces an IVY Plot (Similar to Dot Plot) with/without
Frequencies
Tri Ha Minh Nguyen
Jyotirmoy Sarkar
Mamunur Rashid
Tri Ha Minh Nguyen <tringuyen_2023@depauw.edu>
For a single variable, the IVY Plot stacks tied values in the form of leaflets. Five leaflets join to form a leaf.
Leaves are stacked vertically. At most twenty leaves are shown; For high frequency, each leaflet may represent more than
one observation with multiplicity declared in the subtitle.

Synthesizing Information Across Collaborating Research
Synthesizes information across collaborating research. Created specifically for Integrative Analysis of Longitudinal Studies of Aging (IALSA).
c(person("Will", "Beasley", email="wibeasley@hotmail.com", role=c("aut", "cre")),
person("Andrey", "Koval", email="andkov@uvic.ca", role = c("aut")),
person(given="Integrative Analysis of Longitudinal Studies of Aging (IALSA)", role = c("cph")))
Will Beasley [aut, cre],
Andrey Koval [aut],
Integrative Analysis of Longitudinal Studies of Aging (IALSA) [cph]
devtools, knitr, readr, testthat (>= 0.9)

Iboot: iterated bootstrap tests and confidence sets.
The package implements a general algorithm to obtain
iterated bootstrap tests and confidence sets for a
p-dimensional parameter based on the unstudentized version of
the Rao statistic.

Apply Statistical Post-Processing to Improve Sea Ice Predictions
Hannah M. Director, Adrian E. Raftery, and Cecilia M. Bitz
Tools for modeling and correcting biases in sea ice predictions obtained from dynamical models.
ncdf4, maptools, MASS, raster, methods, utils

Tools for modeling and correcting biases in sea ice predictions obtained from dynamical models. This package depends on the 'ncdf4' and 'rgeos' R packages. These packages respectively require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.) References, Bivand and Rundel (2017) <https://CRAN.R-project.org/package=rgeos>, Open Source Geospatial Foundation (2017) <https://trac.osgeo.org/geos>, Pierce (2017) <https://CRAN.R-project.org/package=ncdf4>, Unidata (2017) <https://www.unidata.ucar.edu/software/netcdf/>.