Title: CamelUp Board Game as a Teaching Aid for Introductory Statistics
Authors@R: c(person("Michael", "Czekanski", email = "middleburystatspackages@gmail.com", role = c("aut", "cre")), person("Alex", "Lyford", role = "aut"), person("Tom", "Rahr", role = "aut"), person("Tina", "Chen", role = "aut"))
Description: Implements the board game CamelUp for use in introductory statistics classes using a Shiny app.
Imports: data.table, ggthemes, parallel, R6, shiny, shinyalert,

Imports: data.table, parallel, R6, shiny, shinyalert, tidyverse

Imports: data.table, dplyr, ggplot2, magrittr, methods, Rcpp, shiny

Title: 'CamelUp' Board Game as a Teaching Aid for Introductory
Description: Implements the board game 'CamelUp' for use in introductory statistics classes using a Shiny app.

Title: Publication Quality Phylogenetic Tree Plots
person("Paul Boutros", role = "cre", email = "PBoutros@mednet.ucla.edu"),
person("Adriana Salcedo", role = "aut"),
Description: Generates tree plots with precise branch lengths, gene annotations, and cellular prevalence. The package handles complex tree structures (angles, lengths, etc.) and can be further refined as needed by the user.
Depends: R (>= 3.5.0), graphics, grid, gridExtra, gtable,
Imports: plyr, grDevices, utils, stringr

Title: Prediction of Anticancer Peptides
Description: Predicts anticancer peptides using random forests trained on the
both the command line and shiny-based GUI. The CancerGram model is too large
<https://github.com/BioGenies/CancerGramModel>. For more information see:
Burdukiewicz et al. (2020) <doi:10.3390/pharmaceutics12111045>.
Imports: biogram, devtools, pbapply, ranger, shiny, stringi, dplyr

Title: Batch Correction of Single Cell Transcriptome Data
person("Martin", "Loza", email = "martin.loza.lopez@gmail.com", role = c("aut", "cre"),
person("Diego", "Diez", email = "diego10ruiz@gmail.com", role = c("aut"),
Description: Non-linear/linear hybrid method for batch-effect correction
that uses Mutual Nearest Neighbors (MNNs) to identify similar cells between
Imports: FNN, irlba, numbers, fpc, bluster, igraph, matrixStats
Suggests: testthat (>= 2.1.0), Seurat, SingleCellExperiment,
Author: Martin Loza [aut, cre] (<https://orcid.org/0000-0002-3342-2643>),