Collate: zzz.R classes.R data.R colours.R reconstruction.R utility.R
platemodel.R fetching.R info.R XArray-base.R XArray-combine.R

Authors@R: c(person(given = "Leandro", family = "Roser", role = c("aut", "cre"), email = "learoser@gmail.com"))
Description: Read external data tables in chunks using a C++ backend.
Collate: 'ZZZ.R' 'auxiliar.R' 'RcppExports.R' 'classes.R'

Description: Read external data tables chunk by chunk using a C++ backend and a simple R interface.
Collate: 'ZZZ.R' 'auxiliar.R' 'classes.R' 'constructors.R'

Description: Read tables chunk by chunk using a C++ backend and a simple R interface.
Collate: 'ZZZ.R' 'auxiliary.R' 'classes.R' 'constructors.R'

Title: Chunkwise Text-File Processing for 'dplyr'
Description: Text data can be processed chunkwise using 'dplyr' commands. These are recorded and executed per data chunk,
so large files can be processed with limited memory using the 'LaF' package.

Description: Text data can be processed chunkwise using 'dplyr' commands. These
are recorded and executed per data chunk, so large files can be processed with

Authors@R: c(person("Edwin", "de Jonge", email="edwindjonge@gmail.com", role=c("aut","cre")))
Description: Data stored in text file can be processed chunkwise using 'dplyr' commands. These

Imports: LaF, utils, rlang, DBI, progress

Authors@R: c(person("Edwin", "de Jonge", email="edwindjonge@gmail.com", role=c("aut","cre"), comment = c(ORCID = "0000-0002-6580-4718")))
Author: Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>)

Set chunk hooks for 'R Markdown' documents <https://rmarkdown.rstudio.com/>,
For example, change units of figure sizes, benchmark chunks, and number
Author: Atsushi Yasumoto [aut, cph, cre]

Title: Functions for Conditional Hypergeometric Distributions
Description: An implementation of the probability mass function, cumulative density function, quantile function, random number generator, maximum likelihood estimator, and p-value generator from a conditional hypergeometric distribution: the distribution of how many items are in the overlap of all samples when samples of arbitrary size are each taken without replacement from populations of arbitrary size.