Models Topographic Exposure to Hurricane Winds
c( person("Emery", "Boose", role = c("aut", "cre"),
email = "boose@fas.harvard.edu"),
person("President and Fellows of Harvard College", role = "cph"))
The EXPOS model uses a digital elevation model (DEM) to estimate
exposed and protected areas for a given hurricane wind direction and
inflection angle. The resulting topographic exposure maps can be combined
with output from the HURRECON model to estimate hurricane wind damage
across a region. For details on the original version of the EXPOS model
written in 'Borland Pascal', see: Boose, Foster, and Fluet (1994)
<doi:10.2307/2937142>, Boose, Chamberlin, and Foster (2001)
<doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2>, and Boose,
Serrano, and Foster (2004) <doi:10.1890/02-4057>.
graphics, grDevices, raster, rgdal, utils
knitr, qpdf, testthat (>= 3.0.0), rmarkdown
Emery Boose [aut, cre],
President and Fellows of Harvard College [cph]

The package provides a consistent, unified and extensible
framework for parameter estimation of probability distributions; it extends
parameter estimation procedures to allow for weighted samples; moreover, it
extends the gallery of available distributions.
Haizhen Wu <h.wu2@massey.ac.nz>,
A. Jonathan R. Godfrey <A.J.Godfrey@massey.ac.nz>,
Kondaswamy Govindaraju <k.govindaraju@massey.ac.nz>

numDeriv, optimx, VGAM, SuppDists, truncdist

The package provides a consistent, unified and extensible
framework for parameter estimation of probability distributions; it extends
parameter estimation procedures to allow for weighted samples; finally, it
extends the gallery of available distributions.
Haizhen Wu <h.wu2@massey.ac.nz>, A. Jonathan R. Godfrey
<A.J.Godfrey@massey.ac.nz>, Kondaswamy Govindaraju
<k.govindaraju@massey.ac.nz>

Extending the Range of Functions for Probability Distributions
A consistent, unified and extensible
framework for estimation of parameters for probability distributions, including
parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.
Haizhen Wu <h.wu2@massey.ac.nz>,
A. Jonathan R. Godfrey <A.J.Godfrey@massey.ac.nz>,
Kondaswamy Govindaraju <k.govindaraju@massey.ac.nz>,
Sarah Pirikahu <s.pirikahu@massey.ac.nz>
ggplot2, knitr, PerformanceAnalytics, stats, SuppDists,
truncdist, VGAM, xtable