backports, curl, jsonlite, zip, data.table

c(
person("Tyler", "Littlefield", email = "tylerlittlefield@hey.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6020-1125")),
person("Maëlle", "Salmon", role = c("ctb", "rev")))
The goal of exoplanets is to provide access to
NASA's Exoplanet Archive TAP Service. For more information regarding
the API please read the documentation
<https://exoplanetarchive.ipac.caltech.edu/index.html>.
covr, dplyr, ggplot2, httptest, knitr, rmarkdown, scales,
testthat (>= 3.0.0)
Tyler Littlefield [aut, cre] (<https://orcid.org/0000-0002-6020-1125>),
Maëlle Salmon [ctb, rev]

c(
person("Tyler", "Littlefield", email = "tylerlittlefield@hey.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6020-1125")),
person("Maëlle", "Salmon", role = c("ctb", "rev")),
person("Mathida", "Chuk", role = c("ctb")))
Tyler Littlefield [aut, cre] (<https://orcid.org/0000-0002-6020-1125>),
Maëlle Salmon [ctb, rev],
Mathida Chuk [ctb]

Convert Gene EXPression Data to FBA FLUXes
Daniel Osorio[aut,cre], Kelly Botero[aut,cre], Janneth Gonzalez[aut],
Andres Pinzon[aut]
For a given metabolic model with well formed Gene-Protein-Reaction (GPR) associations and an expressionSet with their associated gene expression values, this package converts gene expression values to the FBA boundaries for each reaction based in the boolean rules described in its associated GPR.

person("Bangyou", "Zheng",
email = "bangyou.zheng@csiro.au",
role = c("aut", "cre"))
A SQLite database is designed to store all information
of experiment-based data including metadata, experiment design,
managements, phenotypic values and climate records. The dataset can be
imported from an excel file.
DBI, RSQLite, utils, readxl, png, grid, tibble, lubridate,
dplyr, methods, weaana (>= 0.1.1), tidyr, tidyverse, magrittr,
stats, reshape2, stringr, rlang

An Exponential Stochastic Block Model for Interaction Lengths
c(person("Riccardo", "Rastelli", role = c("aut", "cre"),
email = "riccardoras@gmail.com",
comment = c(ORCID = "0000-0003-0982-2935")),
person("Michael", "Fop", role = "aut",
comment = c(ORCID = "0000-0003-3936-2757")))
Given a continuous-time dynamic network, this package allows one to fit a stochastic blockmodel where nodes belonging to the same group create interactions and non-interactions of similar lengths. This package implements the methodology described by R. Rastelli and M. Fop (2019) <arXiv:1901.09828>.