A strong type system for R which supports
symbol declaration and assignment with type checking
and condition checking.

An R interface to the 'typeform' (https://typeform.com) application program interface.
Also provides functions for downloading your results.

An R interface to the 'typeform' <https://typeform.com> application program interface.
Also provides functions for downloading your results.

person(given = "Colin",
family = "Gillespie",
email = "csgillespie@gmail.com",
role = c("aut", "cre"))

testthat, curl, dplyr, shiny(>= 1.0.0), miniUI(>= 0.1.1),
rstudioapi(>= 0.5)

jsonlite, httr, purrr, utils, tibble, dplyr, glue, lubridate,
tidyr

An R interface to the 'typeform'
<https://typeform.com> application program interface.  Also provides
functions for downloading your results.
assertthat, dplyr, glue, httr, jsonlite, lubridate, purrr,
tibble, tidyr, utils

c(person(given = "Colin",
family = "Gillespie",
role = c("aut", "cre"),
email = "csgillespie@gmail.com"),
person(given = "Jamie",
family = "Owen",
role = "aut",
email = "jamie@jumpingrivers.com"))
assertthat, dplyr (>= 1.0.0), glue, httr, jsonlite, lubridate,
purrr, rlang, tibble, tidyr, utils
Colin Gillespie [aut, cre],
Jamie Owen [aut]

Bayesian Inference from the Conditional Genetic Stock
Identification Model
c(
person(given = c("Eric", "C."), family = "Anderson", email = "eric.anderson@noaa.gov", role = c("aut", "cre")),
person(given = "Ben", family = "Moran", email = "moran.ben@husky.neu.edu", role = c("aut"))
)
Implements Bayesian inference for the conditional genetic
stock identification model.  It allows inference of mixed fisheries and also
simulation of mixtures to predict accuracy.  A full description of the underlying
methods is in review at Canadian Journal of Fisheries and Aquatic Sciences.
dplyr, ggplot2, gtools, magrittr, Rcpp (>= 0.12.5), readr,
rlang, stringr, tibble, tidyr
Eric C. Anderson [aut, cre],
Ben Moran [aut]

Implements Bayesian inference for the conditional genetic
stock identification model.  It allows inference of mixed fisheries and also
simulation of mixtures to predict accuracy.  A full description of the underlying
methods is available in a recently published article in the
Canadian Journal of Fisheries and Aquatic Sciences: <doi.org/10.1139/cjfas-2018-0016>.