Authors@R: person("Colin", "Fay", email = "contact@colinfay.me", role = c("aut", "cre"), comment=c(ORCID="0000-0001-7343-1846"))
Description: Tools for defensive programming, inspired by 'purrr' mappers and
based on 'rlang'.'attempt' extends and facilitates defensive programming by
Suggests: testthat, knitr, rmarkdown, curl
Author: Colin Fay [aut, cre] (<https://orcid.org/0000-0001-7343-1846>)

Description: Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep Learning".

Description: Self-Attention algorithm helper functions and demonstration vignettes of increasing depth on how to construct the Self-Attention algorithm, this is based on Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>, Dan Jurafsky and James H. Martin (2022, ISBN:978-0131873216) <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing (3rd ed.)" and Alex Graves (2020) <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep Learning".

Title: Correcting for Attenuation Due to Measurement Error
person("Jonas", "Moss", , "jonas.gjertsen@gmail.com", role = c("aut", "cre"),
Description: Confidence curves, confidence intervals and p-values for
correlation coefficients corrected for attenuation due to measurement error.
Implements the methods described in Moss (2019, <arxiv:1911.01576>).

Title: Evaluation and comparison of expression data and GRNs
Description: This packagage facilitates evaluation of expression data
sets compendia.  They can either be based on real data or be
the result of a simulation.  Some statics make use of a gene
regulatory network, on which the expression data is based, and
some require the presence of replicates of microarray