irts(), its, zoo() and zooreg() time series classes to lm(), glm(),
quantreg::rq(), randomForest::randomForest() and other regression
Packaged: 2016-12-12 18:30:13 UTC; markleeds

irts(), zoo() and zooreg() time series classes to lm(), glm(),
Suggests: lattice, MASS, MCMCpack, quantreg (>= 3.82), randomForest,
Packaged: 2016-12-14 16:54:19 UTC; markleeds

Packaged: 2017-02-08 23:30:30 UTC; markleeds

Title: Dynamic Logging for R Inspired by Configuration Driven
Description: A comprehensive and dynamic configuration driven logging package for R. While there
are several excellent logging solutions already in the R ecosystem, I always feel constrained
in some way by each of them. Every project is designed differently to solve it's domain specific problem,
and ultimately the utility of a logging solution is its ability to adapt to this design. This is the
raison d'être for 'dyn.log': to provide a modular design, template mechanics and a configuration-based
integration model, so that the logger can integrate deeply into your design, even though it knows
Suggests: devtools, usethis, rmarkdown, markdown, knitr, covr (>=
Author: Brandon Moretz [aut, cre] (<https://orcid.org/0000-0001-8832-5173>)

Title: dynBiplotGUI: Full Interactive GUI for Dynamic Biplot in R
Description: A GUI to solve Biplots Dynamic, Biplot classic and HJ-biplot. Try matrices of 2-way and 3-way. Multilanguage.

Description: A GUI to solve Dynamic Biplots, classic Biplot and HJ-biplot. Try matrices of 2-way and 3-way. Multilanguage.

Imports: tcltk, tcltk2 (>= 1.2-3), tkrplot (>= 0.0-23)

Title: Full Interactive GUI for Dynamic Biplot in R
Imports: tcltk, tcltk2 (>= 1.2-10), tkrplot (>= 0.0-23)

Description: A GUI to solve dynamic biplots and classical biplot. Try matrices of 2-way and 3-way. The GUI can be run in multiple languages.

Suggests: foreign (>= 0.8-61), readxl (>= 0.1.1)
Description: A GUI to solve dynamic biplots and classical biplot. Try matrices
of 2-way and 3-way. The GUI can be run in multiple languages.

Title: Dynamic Models for Confidence and Response Time Distributions
Suggests: tidyr, ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
Imports: stats, Rcpp, rtdists, dplyr, magrittr, rlang, logger, minqa,
Provides density functions for the joint distribution of choice,
response time and confidence for discrete confidence judgments
as well as functions for parameter fitting, prediction and simulation
for various dynamical models of decision confidence.
All models are explained in detail by Hellmann et al.
Implemented models are the dynWEV model, the 2DSD model (Pleskac & Busemeyer, 2010,
<doi:10.1037/a0019737>), and various race models.
C++ code for dynWEV and 2DSD is based on the 'rtdists' package by
Author: Sebastian Hellmann [aut, cre] (<https://orcid.org/0000-0002-3621-6343>),
Manuel Rausch [ctb, fnd] (<https://orcid.org/0000-0002-5805-5544>)