Description: Basic functions for building parsers, with an application

Author: Juan Gea Rosat, Ramon Martínez Coscollà

Author: Martin Schlather [aut, cre], Yiqi Li [aut, cre]
Description: The queueing model of visual search models the accuracy and response time data in a visual search experiment using queueing models with finite customer population and stopping criteria of completing the service for finite number of customers. It implements the conceptualization of a hybrid model proposed by Moore and Wolfe (2001), in which visual stimuli enter the processing one after the other and then are identified in parallel. This package provides functions that simulate the specified queueing process and calculate the Wasserstein distance between the empirical response times and the model prediction.
Packaged: 2022-06-20 12:16:32 UTC; schlather

Dominic Szablewski [cph] (C library 'qoi')
Authors@R: c(person("Johannes", "Friedrich", role = c("aut", "trl","cre"), email = c("Johannes.Friedrich@posteo.de")),
person("Dominic", "Szablewski", role = c("cph"), comment = c("C library 'qoi'")))
Description: The new QOI file format offers a very simple but efficient image compression algorithm. This package provides an easy and simple way to read, write and display bitmap images stored in the QOI (Quite Ok Image) format. It can read and write both files and in-memory raw vectors.

Title: Transport Data and Commands Across the 'FAME' / 'R' Border
person("Kevin", "Keane", email = "krkeane@qoma.io", role = c("aut", "cre")),
person("Qoma", "LLC", email = "info@qoma.io", role = "cph"))
Description: Transport data and commands across the 'FAME' <https://fame.sungard.com/support.html> / 'R' border.
A set of utilities for: reading 'FAME' databases into 'R'; writing
'R' data into 'FAME' databases; executing 'FAME' commands in 'R' environment; and, executing
'R' commands from the 'FAME' environment.

Package: qp
Type: Package
Title: q-order partial correlation graph search algorithm
Version: 0.1-1
Date: 2006-09-29
Author: Robert Castelo <robert.castelo@upf.edu>, Alberto Roverato <roverato@unimore.it>
Maintainer: Robert Castelo <robert.castelo@upf.edu>
Depends: R (>= 2.2.1)
Description: the q-order partial correlation graph search algorithm, q-partial,
or qp, algorithm for short, is a robust procedure for structure
learning of undirected Gaussian graphical Markov models from
"small n, large p" data, that is, multivariate normal data coming
from a number of random variables p larger than the number of
multidimensional data points n as in the case of, e.g., microarray
data.
License: GPL version 2 or newer
Packaged: Fri Sep 29 17:06:09 2006; rcastelo