c(person("Inga", "Maslova", role="aut"),
person("Wen", "Xiao", role=c("aut","cre"),
email="wx5356a@student.american.edu"))
waveslim, fda, ggplot2, splines, graphics
A powerful system for estimating an improved wavelet-based index
of magnetic storm activity, storm activity preindex (from individual station) and SQ variations.
It also serves as a flexible visualization tool.

Eleni Chatzimichali <e.chatzimichali@cranfield.ac.uk>, Conrad
Bessant <c.bessant@cranfield.ac.uk>
The iWebPlots package provides methods for the creation of
interactive web-based scatter plots, generated directly via the
R statistical environment. Interactivity is implemented using
the fundamental HTML image map technology, so no additional
software such as applets or plug-ins is required. Additional
features include dynamic tooltips and text annotations as well
as asynchronous alternation between two- and three-dimensional
scatter plots.

The iWebPlots package provides methods for the creation of
interactive web-based plots, generated directly via the R
statistical environment. Interactivity is implemented using the
fundamental HTML image map technology, so no additional
software such as applets or plug-ins is required. Additional
features include dynamic tooltips and text annotations as well
as asynchronous alternation between two- and three-dimensional
plots.

Improved methods for causal inference and missing data problems
Improved methods based on inverse probability weighting
and outcome regression for causal inference and missing data
problems

Improved Methods for Causal Inference and Missing Data Problems
Improved methods based on inverse probability weighting
and outcome regression for causal inference and missing data
problems.

c(
person(given = "Lei",
family = "Wang",
role = c("aut", "cre",'cph'),
email = "slimewanglei@163.com"),
person(given = "Hani",
family = "Aldirawi",
role = c("aut",'cph'),
email = "haldir2@uic.edu"),
person(given = "Jie",
family = "Yang",
role = c("aut",'cph'),
email = "jyang06@uic.edu"))
Computes bootstrapped Monte Carlo estimate of p value of Kolmogorov-Smirnov (KS) test and
likelihood ratio test for zero-inflated count data, based on the work of Aldirawi et al. (2019)
<doi:10.1109/BHI.2019.8834661>. With the package, user can also find tools to simulate
random deviates from zero inflated or hurdle models and obtain  maximum likelihood estimate
of unknown parameters in these models.
Lei Wang [aut, cre, cph],
Hani Aldirawi [aut, cph],
Jie Yang [aut, cph]