Generalized IRT Ideal Point Models with 'Stan'
c(person("Robert","Kubinec", role = c("aut","cre"),
email = "rmk7@nyu.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 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).
rstan (>= 2.18.1), rstantools (>= 1.5.1), dplyr, tidyr,
stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan,
gghighlight, forcats, ggrepel

rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr, tidyr,
stringr, bayesplot, ggplot2, lazyeval, rlang, shinystan,
gghighlight, forcats, ggrepel

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/>).

rstan (>= 2.18.2), rstantools (>= 1.5.1), dplyr, svDialogs,
scales, tidyr, stringr, bayesplot, ggplot2, lazyeval, rlang,
shinystan, gghighlight, forcats, ggrepel

Easy Manipulation of IDEAM's Climatological Data
c(
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"))
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
<http://www.ideam.gov.co/solicitud-de-informacion>.
stringr, tidyr, dplyr, ggplot2, utils, graphics
Luz Maria Morales [aut, cre],
Edwin Echeverri [aut],
Kenneth Roy Cabrera [aut]