Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach

Title: Conditional Truncated Multivariate Normal Distribution
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>
Description: Computes the density and probability for the conditional truncated multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>). Also draws random samples from this distribution.
Imports: condMVNorm(>= 2020.1), matrixNormal(>= 0.0.1), tmvmixnorm(>=
Suggests: formatR, knitr, rmarkdown, roxygen2, sessioninfo, spelling,

Title: Conditional Formatting in Data Frames
Authors@R: person(given = "Sergio", family = "Oller Moreno",
email = "sergioller@gmail.com", role = c("aut", "cph", "cre"),
Description: Apply and visualize conditional formatting to data frames in R.
It renders a data frame with cells formatted according to
criteria defined by rules, using a tidy evaluation syntax. The table is
printed either opening a web browser or within the 'RStudio' viewer if
available. The conditional formatting rules allow to highlight cells
matching a condition or add a gradient background to a given column. This
package supports both 'HTML' and 'LaTeX' outputs in 'knitr' reports, and
Imports: dplyr (>= 0.7.7), grDevices, gridExtra (>= 2.3), gtable (>=
Suggests: promises, shiny (>= 1.0.5), testthat (>= 1.0), vdiffr (>=
Author: Sergio Oller Moreno [aut, cph, cre]
Maintainer: Sergio Oller Moreno <sergioller@gmail.com>

email = "sergioller@gmail.com", role = c("aut", "cph", "cre"))
It presents a data frame as an HTML table with cells CSS formatted according to
criteria defined by rules, using a syntax similar to 'ggplot2'. The table is printed
either opening a web browser or within the 'RStudio' viewer if available. The
conditional formatting rules allow to highlight cells matching a condition or
add a gradient background to a given column based on a column values.
Imports: htmlTable, scales, dplyr, assertthat, lazyeval, knitr

criteria defined by rules, using a syntax similar to 'ggplot2'. The table is
Imports: htmlTable, scales, dplyr, assertthat, lazyeval, knitr,