Nonparametric and semiparametric estimations of the time-dependent ROC curve for the interval-censored failure time data.

Peter M. Aronow <peter.aronow@yale.edu>, Dean Eckles <icsw@deaneckles.com> and Kyle Peyton <kyle.peyton@yale.edu>
Provides the necessary tools to estimate average treatment effects with an instrumental variable by re-weighting observations using a model of compliance.

Computes and tests individual (species, phylogenetic and functional) diversity-area relationships, i.e., how species-, phylogenetic- and functional-diversity varies with spatial scale around the individuals of some species in a community. See applications of these methods in Wiegand et al. (2007) <doi:10.1073/pnas.0705621104> or Chacon-Labella et al. (2016) <doi:10.1007/s00442-016-3547-z>.

R Interface to the US Census Bureau International Data Base API
c(person(given="Kyle", family="Walker", email="kyle.walker@tcu.edu", role=c("aut", "cre")))
Use R to make requests to the US Census Bureau's International Data Base API.
Results are returned as R data frames.  For more information about the IDB API, visit
http://www.census.gov/data/developers/data-sets/international-database.html.

Use R to make requests to the US Census Bureau's International Data Base API.
Results are returned as R data frames.  For more information about the IDB API, visit
<http://www.census.gov/data/developers/data-sets/international-database.html>.

Use R to make requests to the US Census Bureau's International Data Base API.
Results are returned as R data frames.  For more information about the IDB API, visit
<https://www.census.gov/data/developers/data-sets/international-database.html>.
jsonlite, dplyr, httr, countrycode, purrr, rnaturalearthdata,
sf

Bayesian IRT Ideal Point Models with 'Stan'
c(person("Robert","Kubinec", role = c("aut","cre"),
email = "rmk7xy@virginia.edu"),
person("Jonah", "Gabry", role = "ctb"),
person("Ben", "Goodrich", role = "ctb"),
person("Trustees of Columbia University",role='cph'))
Offers item-response theory (IRT) ideal-point scaling/dimension reduction methods that incorporate additional response categories and missing/censored values, including absences and abstentions, for roll call voting data (or any other kind of binary or ordinal item-response theory data). Full and approximate Bayesian inference is done via the 'Stan' engine (www.mc-stan.org).
rstan (>= 2.13.2), rstantools (>= 1.1.0), methods (>= 3.3.1),
dplyr, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang,
shinystan
Robert Kubinec [aut, cre],
Jonah Gabry [ctb],
Ben Goodrich [ctb],
Trustees of Columbia University [cph]