person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut")),
person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("ths", "cre"))
Description: Automatically calculates cognostic groups for plot objects and list column plot objects.  Results are returned in a nested data frame.
Imports: dplyr, checkmate, MASS, broom, moments, diptest, mclust,
ggplot2, tibble, utils, hexbin, progress

Title: An implementation of sparse autoencoder for automatic learning
of representative features from unlabeled data.
Author: Eugene Dubossarsky (project leader, chief designer), Yuriy Tyshetskiy (design, implementation, testing)
Description: The package implements the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.

Title: Sparse Autoencoder for Automatic Learning of Representative
Description: Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.
Packaged: 2015-07-02 05:28:56 UTC; ytyshetskiy

Title: Semi-Automatic Grading of R and Rmd Scripts
person("Vik", "Gopal", email="vik.gopal@nus.edu.sg", role=c("aut", "cre")),
person("Viknesh", "Jeya Kumar", email="viknesh@u.nus.edu", role="aut"),
person("National University of Singapore", role="cph"))
Description: A customisable set of tools for assessing and grading
R or R-markdown scripts from students. It allows for checking correctness
of code output, runtime statistics and static code analysis. The latter
feature is made possible by representing R expressions using a tree
Imports: magrittr, dplyr, stringr, rlang, tidyr, tibble, knitr,
rmarkdown, pryr, shiny, lintr, methods, igraph
Collate: 'treeharp.R' 'th_getter-length.R' 'as.matrix.R' 'autoharp.R'
Suggests: readxl, xml2, rvest, formatR, testthat
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org