The 'c2d4u' project provides precompiled CRAN packages for 'Ubuntu' users.
They can be installed into user libraries without requiring root permissions.

Create interactive charts with the 'C3.js' <http://c3js.org/> charting library. All plot
types in 'C3.js' are available and include line, bar, scatter, and mixed geometry plots. Plot
annotations, labels and axis are highly adjustable. Interactive web based charts can be embedded
in R Markdown documents or Shiny web applications.
c(
person("Matt", "Johnson", email = "mrjoh3@gmail.com",
role = c("aut", "cre"))
)
jsonlite, data.table, lazyeval, htmlwidgets, dplyr, viridis
testthat, RColorBrewer, knitr, rmarkdown, webshot, purrr

testthat, RColorBrewer, knitr, rmarkdown, purrr

Infering large-scale gene networks with C3NET
This package allows inferring gene regulatory networks
with direct physical interactions from microarray expression
data using C3NET.

Inferring Large-Scale Gene Networks with C3NET
Allows inferring gene regulatory networks
with direct physical interactions from microarray expression
data using C3NET.

Conditional Akaike information criterion for lme4
Benjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Provides functions for the estimation of the conditional Akaike
information in Generalized Mixed-effects models fitted with (g)lmer
form lme4.

Provides functions for the estimation of the conditional Akaike
information in generalized mixed-effects models fitted with (g)lmer
form lme4.

Conditional Akaike Information Criterion for 'lme4'
Benjamin Saefken and David Ruegamer, with contributions from Sonja
Greven and Thomas Kneib
Provides functions for the estimation of the conditional Akaike
information in generalized mixed-effect models fitted with (g)lmer()
from 'lme4'.

Conditional Akaike Information Criterion for 'lme4' and 'nlme'
Benjamin Saefken, David Ruegamer, Philipp Baumann and Rene-Marcel Kruse, with contributions from Sonja
Greven and Thomas Kneib
lme4(>= 1.1-6), methods, Matrix, stats4, nlme
Provides functions for the estimation of the conditional Akaike
information in generalized mixed-effect models fitted with (g)lmer()
from 'lme4', lme() from 'nlme' and gamm() from 'mgcv'.