Title: Generalized IRT Ideal Point Models with 'Stan'
Description: Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).
Imports: rstan (>= 2.18.1), rstantools (>= 1.5.1), dplyr, tidyr,
stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan,

Imports: rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr, tidyr,

Description: Offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Full and approximate Bayesian sampling with 'Stan' (<https://mc-stan.org/>).

Imports: rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr, svDialogs,
scales, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang,

Title: Easy Manipulation of IDEAM's Climatological Data
person("Luz Maria", "Morales", email = "lummoralesgo@unal.edu.co", role = c("aut", "cre")),
person("Edwin", "Echeverri", email = "eecheverris@unal.edu.co", role = "aut"),
person("Kenneth Roy", "Cabrera", email = "krcabrer@unal.edu.co", role = "aut"))
Description: Time series plain text conversion and data visualization. It allows
to transform IDEAM (Instituto de Hidrologia, Meteorologia y Estudios Ambientales)
daily series from plain text to CSV files or data frames in R. Additionally,
it is possible to obtain exploratory graphs from times series. IDEAM’s data
is freely delivered under formal request through the official web page
Imports: stringr, tidyr, dplyr, ggplot2, utils, graphics
Maintainer: Luz Maria Morales <lummoralesgo@unal.edu.co>

Title: Efficient Designs for Discrete Choice Experiments
Authors@R: person("Frits", "Traets", email = "frits.traets@kuleuven.be", role = c("aut", "cre"))
Description: Generates efficient designs for discrete choice experiments based on the multinomial logit model,
and individually adapted designs for the mixed multinomial logit model. Crabbe M, Akinc D and Vandebroek M (2014)
Imports: dplyr, maxLik, gtools, MASS, stats, scales