Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <jameslo@princeton.edu> and Royce
Carroll <rcarroll@rice.edu>

Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis
<jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce
Carroll <rcarroll@rice.edu>

Optimal Classification Roll Call Analysis Software
Estimates optimal classification (Poole 2000) <doi:10.1093/oxfordjournals.pan.a029814>
scores from roll call votes supplied though a 'rollcall'
object from package 'pscl'.

This package provides a generic function for estimating
positron emission tomography (PET) neuroreceptor occupancies
from the total volumes of distribution of a set of regions of
interest. Fittings methods include the simple 'reference
region' and 'ordinary least squares' (sometimes known as
occupancy plot) methods, as well as the more efficient
'restricted maximum likelihood estimation'.

Generic function for estimating positron emission tomography (PET) neuroreceptor occupancies from the total volumes of distribution of a set of regions of interest. Fittings methods include the simple 'reference region' and 'ordinary least squares' (sometimes known as occupancy plot) methods, as well as the more efficient 'restricted maximum likelihood estimation'.

Querying and Managing Large Biodiversity Occurrence Datasets
c(
person(given = "Hannah L.", family = "Owens", ,"hannah.owens@gmail.com", role=c("aut","cre"),
comment = c(ORCID = "0000-0003-0071-1745")),
person(given = "Cory", family = "Merow",,,role="aut",
comment = c(ORCID = "0000-0003-0561-053X")),
person(given = "Brian", family = "Maitner", ,,,role="aut",
comment = c(ORCID = "0000-0002-2118-9880")),
person(given = "Jamie M.", family = "Kass", ,,,role="aut",
comment = c(ORCID = "0000-0002-9432-895X")),
person(given = "Vijay", family = "Barve",,"vijay.barve@gmail.com ",role="aut",
comment = c(ORCID = "0000-0002-4852-2567")),
person(given = "Robert P.", family = "Guralnick",,,role="aut",
comment = c(ORCID = "0000-0001-6682-1504"))
)
Facilitates the gathering of biodiversity occurrence data
from disparate sources. Metadata is managed throughout the process to facilitate
reporting and enhanced ability to repeat analyses.
RefManageR, bib2df, BIEN, bit64, dplyr, ape, lubridate,
methods, rgbif (>= 3.1), taxize, stringr, knitr, stats,
leaflet, htmltools, ggplot2, rlang, magrittr, tidyr,
RPostgreSQL, DBI, waffle