Imports: Rcpp (>= 0.12.9), ggplot2, tidyr

Description: Nonparametric and semiparametric estimations of the time-dependent ROC curve for the interval-censored failure time data.
Depends: R (>= 3.5.0), survival, Iso, icenReg

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

Packaged: 2018-05-16 22:36:58 UTC; kylepeyton

Description: 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>.
Packaged: 2017-05-04 06:28:17 UTC; marcelino

Packaged: 2019-12-04 21:34:45 UTC; marcelino

Depends: FD, picante, spatstat (>= 2.0-0)
Packaged: 2021-02-15 06:34:05 UTC; marcelino

Imports: ape, spatstat.geom, spatstat.core, spatstat.random
Packaged: 2022-02-12 13:42:15 UTC; marcelino

Imports: ape, spatstat.geom, spatstat.explore, spatstat.random
Packaged: 2022-11-09 12:19:51 UTC; marcelino

Title: R Interface to the US Census Bureau International Data Base API
Authors@R: c(person(given="Kyle", family="Walker", email="kyle.walker@tcu.edu", role=c("aut", "cre")))
Description: 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
Packaged: 2016-02-29 11:58:23 UTC; KyleWalker

Imports: jsonlite, dplyr, httr, countrycode
Packaged: 2016-07-07 15:47:04 UTC; KyleWalker

Packaged: 2018-04-15 10:49:26 UTC; KyleWalker

Imports: jsonlite, dplyr, httr, countrycode, purrr, rnaturalearthdata,

Title: Bayesian IRT Ideal Point Models with 'Stan'
Authors@R: c(person("Robert","Kubinec", role = c("aut","cre"),
person("Ben", "Goodrich", role = "ctb"),
Description: 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).
dplyr, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang,
LinkingTo: StanHeaders (>= 2.13.1), rstan (>= 2.13.2), BH (>=