Imports: stats, utils, MASS, Hmisc, multcompView, devtools, graphics,

Imports: stats, utils, MASS, multcomp, multcompView, lsmeans, devtools,
graphics, ggthemes, mgcv, mice, methods, zoo, psych, rms,
robustbase, quantreg, lavaan (>= 0.5-20), VGAM, nlme, Matrix,

Imports: stats, utils, MASS, multcompView, emmeans, devtools, graphics,
ggthemes, mgcv, mice, methods, zoo, psych, rms, robustbase,
quantreg, lavaan (>= 0.5-20), VGAM (>= 1.0-6), nlme, Matrix,

Description: Miscellaneous tools and functions,
including: generate descriptive statistics tables,
distributions, and generic functions for residual and
Imports: stats, utils, MASS, multcompView, emmeans, data.table (>=
1.10.0), graphics, ggthemes, ggplot2 (>= 2.2.0), cowplot, mgcv,
mice, methods, zoo, psych, grid, rms, robustbase, quantreg,
Suggests: scales, foreach, testthat (>= 2.1.0), covr, knitr, rmarkdown,
Author: Joshua F. Wiley [aut, cre] (<https://orcid.org/0000-0002-0271-6702>)

1.12.0), graphics, ggthemes, ggplot2 (>= 2.2.0), cowplot, mgcv,
mice, methods, psych, grid, rms, robustbase, quantreg, lavaan

1.12.4), graphics, ggthemes, ggplot2 (>= 2.2.0), cowplot, mgcv,

1.12.4), graphics, ggthemes, ggplot2 (>= 2.2.0), ggpubr, mgcv,

Suggests: scales, foreach, testthat (>= 3.0.0), covr, withr, knitr,

Title: Classical Jacobi Eigensolution Algorithm
Description: Implements the classical Jacobi (1846) algorithm for the
eigenvalues and eigenvectors of a real symmetric matrix, both in pure R
and in C++ using Rcpp.  Mainly as a programming example for teaching purposes.
Suggests: knitr, dplyr, tidyr, ggplot2, microbenchmark

eigenvalues and eigenvectors of a real symmetric matrix, both in
pure R and in C++ using Rcpp. Mainly as a programming example
Suggests: stats, knitr, dplyr, tidyr, ggplot2, microbenchmark

Title: Classical Jacobi Eigenvalue Algorithm
Description: Implements the classical Jacobi algorithm for the
pure 'R' and in 'C++' using 'Rcpp'. Mainly as a programming example
Suggests: stats, knitr, dplyr, tidyr, ggplot2, rbenchmark

Suggests: stats, knitr, dplyr, tidyr, ggplot2, rbenchmark, rmarkdown