Maintainer: Andrey A Shabalin <ashabalin@vcu.edu>
Description: Interface for working with large matrices stored in files,
not in computer memory. Supports multiple non-character
data types (double, integer, logical and raw) of
various sizes (e.g. 8 and 4 byte real values).
Access to parts of the matrix is done by indexing,
Allows for more than 2^32 rows or columns.
Allows for quick addition of extra columns to a filematrix.
Cross-platform as the package has R code only.
Suggests: BiocStyle, knitr, rmarkdown, bigmemory

Suggests: BiocStyle, knitr, rmarkdown, RSQLite

Description: Create descriptive file names with ease. New file names are
automatically (but optionally) time stamped and placed in date stamped
directories. Streamline your analysis pipeline with input and output file
names that have informative tags and proper file extensions.

Title: Chunk Processing or Split-Apply-Combine on Delimited Files(CSV
Description: Perform chunk processing or split-apply-combine on data in a
delimited file(example: CSV) across multiple cores of a single machine with
low memory footprint. These functions are a convenient wrapper over the
Authors@R: person("KS", "Srikanth", email = "sri.teach@gmail.com",
Imports: datadr (>= 0.8.6), assertthat (>= 0.1), parallel
Depends: R (>= 3.3.2), tibble (>= 1.2), utils

Title: Chunk Processing or Split-Apply-Combine on Delimited Files and
delimited file (example: CSV) and Distributed Dataframes (DDF) across multiple
cores of a single machine with low memory footprint. These functions are a
convenient wrapper over the versatile package 'datadr'.

Title: Effective File Navigation from the R Console
Description: Functions for printing the contents of a folder as columns in a ragged-bottom data.frame and for
viewing the details (size, time created, time modified, etc.) of a folder's top level contents.

Title: Handy String and File Manipulation
Authors@R: person("Rory", "Nolan", email = "rorynoolan@gmail.com", role = c("aut", "cre"))
Description: Handy string and file processing and manipulation tools. Built on
top of the functionality of base and 'stringr'. Good for those who like to do
all of their file and string manipulation from within R.
Imports: readr, tibble, Rcpp, magrittr, tools, dplyr, ore, matrixStats