Provides a dataset containing properties for chemical elements.
Helper functions are also provided to access some atomic properties.

Permutational algorithm to simulate survival data
Marie-Pierre Sylvestre, Thad Edens, Todd MacKenzie, Michal
Abrahamowicz
This version of the permutational algorithm generates a
dataset in which event and censoring times are conditional on
an user-specified list of covariates, some or all of which are
time-dependent.

Permutational Algorithm to Simulate Survival Data

Conduct Permutation Analysis of Variance in R
Conduct permutation One-Way or Two-Way Analysis of Variance in R. Use different permutation types for two-way designs.

Taeheon Lee, Bo-Young Lee, Hee-Seok Oh, Heebal Kim
PermuteNGS: The significance testing of transcriptome
profiling for RNA-sequencing data

Enables the interoperability between the Perseus platform for omics data analysis (Tyanova et al. 2016) <doi:10.1038/nmeth.3901> and R. It provides the foundation for developing and running Perseus plugins implemented in R by providing all required input and output handling, including data and parameter parsing as described in Rudolph and Cox 2018 <doi:10.1101/447268>.
utils, plyr, methods, XML, Biobase, stringr

Allows users to stem Persian texts for text analysis.

Automated Persomics Array Image Extraction
person("John", "Smestad", email = "smestad.john@gmail.com",
role = c("aut", "cre"))
R (>= 3.1.0), grDevices, jpeg, tiff, stringr, raster, utils,
graphics, stats
Automated identification of printed array positions from high content
microscopy images and the export of those positions as individual images
written to output as multi-layered tiff files.

Computes Danish Pesticide Load Indicator
c(
person(given = "Niklas",
family = "Moehring",
role = c("aut", "cre"),
email = "niklas.moehring@mtec.ethz.ch",
comment = c(ORCID = "0000-0003-0292-4402")),
person(given = "Leonie",
family = "Vidensky",
role = c("aut"),
email = "leonievi@student.ethz.ch"),
person(given = "Uwe",
family = "Schmitt",
role = c("ctb"),
email = "uwe.schmitt@id.ethz.ch")
)
Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.
Niklas Moehring [aut, cre] (<https://orcid.org/0000-0003-0292-4402>),
Leonie Vidensky [aut],
Uwe Schmitt [ctb]