Functions for loading large (10M+ lines) CSV
and other delimited files, similar to read.csv, but typically faster and
using less memory than the standard R loader. While not entirely general,
it covers many common use cases when the types of columns in the CSV file
are known in advance. In addition, the package provides a class 'int64',
which represents 64-bit integers exactly when reading from a file. The
latter is useful when working with 64-bit integer identifiers exported from
databases. The CSV file loader supports common column types including
'integer', 'double', 'string', and 'int64', leaving further type
transformations  to the user.

Read and Write CSV on the Web (CSVW) Tables and Metadata
Provide functions for reading and writing CSVW - i.e. CSV tables and JSON metadata.
The metadata helps interpret CSV by setting the types and variable names.
testthat (>= 3.0.0), knitr, markdown, rmarkdown
magrittr, jsonlite, purrr, readr, stringr, rlang

cli, magrittr, jsonlite, purrr, readr, stringr, rlang

Import and Export CSV Data with a YAML Metadata Header
Support for import from and export to the CSVY file format. CSVY is a file format that combines the simplicity of CSV (comma-separated values) with the metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by placing a YAML header on top of a regular CSV.

c(person("Thomas J.", "Leeper",
role = c("aut", "cre"),
email = "thosjleeper@gmail.com",
comment = c(ORCID = "0000-0003-4097-6326")),
person("Alexey N.", "Shiklomanov",
role = c("aut"),
email = "alexey.shiklomanov@gmail.com",
comment = c(ORCID = "0000-0003-4022-5979")),
person("Jonathan", "Carroll",
email = "rpkg@jcarroll.com.au",
role = c("aut"),
comment = c(ORCID = "0000-0002-1404-5264"))
)
Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>),
Alexey N. Shiklomanov [aut] (<https://orcid.org/0000-0003-4022-5979>),
Jonathan Carroll [aut] (<https://orcid.org/0000-0002-1404-5264>)

Analyze Circulating Tumor DNA Sequencing Data
person(given = "Amjad",
family = "Alkodsi",
role = c("aut", "cre"),
email = "amjad.alkodsi@gmail.com",
comment = c(ORCID = "0000-0003-3528-4683"))
Contains tools to analyze minimal residual disease and cell-free DNA fragmentation from aligned sequencing data.
More details on the methods can be found in:
Amjad Alkodsi, Leo Meriranta, Annika Pasanen, Sirpa Leppä (2020) <doi:10.1101/2020.01.27.912790>.
magrittr, dplyr (>= 0.8.3), tidyr (>= 1.0.0), purrr (>=
0.3.2), Rsamtools (>= 2.0.0), assertthat (>= 0.2.1),
GenomicRanges, IRanges, GenomeInfoDb, BiocGenerics, BSgenome,
GenomicAlignments, rlang (>= 0.4.0), Biostrings, methods, furrr
(>= 0.1.0), ellipsis (>= 0.3.0), VariantAnnotation (>= 1.30.1)
BSgenome.Hsapiens.UCSC.hg19, testthat (>= 2.1.0), ggplot2,
knitr, rmarkdown, covr, pkgdown
Amjad Alkodsi [aut, cre] (<https://orcid.org/0000-0003-3528-4683>)