magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, stringr, actuar, methods, stats, patchwork, survival,
nloptr, broom

magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, stringr, actuar, methods, stats, patchwork, survival,
nloptr, broom, tidyselect, data.table

magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, actuar, methods, stats, patchwork, survival, nloptr,
broom, tidyselect, data.table

Converts 'MultiQC' Reports into Tidy Data Frames
Provides the means to convert 'multiqc_data.json' files,
produced by the wonderful 'MultiQC' tool, into tidy data frames for downstream
analysis in R. This analysis might involve cohort analysis, quality control visualisation,
change-point detection, statistical process control, clustering, or any other
type of quality analysis.
assertthat, dplyr, HistDat (>= 0.2.0), jsonlite, magrittr,
purrr, rlang, stringr, tibble
tidyr, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2

assertthat, dplyr, jsonlite, magrittr, purrr, rlang, stringr,
tibble
tidyr, testthat (>= 3.0.0), knitr, rmarkdown, ggplot2,
HistDat

Tools for creating and detecting tiling schemes for raster datasets.
raster, rgdal, rgeos, sp, utils, methods, graphics, APfun

Tools for creating and detecting tiling schemes for raster data sets.
raster, rgeos, sp, utils, methods, graphics, APfun

Tools for creating and detecting tiling schemes for geospatial datasets.
APfun, raster, rgeos, sp, utils, methods, graphics, stats, XML

This package performs various analyses of functional gene tiling
DNA microarrays for studying complex microbial communities.
This package is intended for processing the output from
functional gene tiling DNA microarray experiments. It produces
hybridization pattern plots for each gene on the array, and
statistics for each gene including mean probe intensity, median
probe intensity, bright probe fraction, bright segment length
dependent score, bright probe mean intensity, and bright probe
median intensity. Output is generated in order of bright
segment length dependent score in both a latex/eps format and
tab-delimited text file. The package works in three modes:
single array, comparison of two arrays, and comparison of two
arrays with loess normalization.