An Arsenal of 'R' functions for large-scale statistical summaries,
which are streamlined to work within the latest reporting tools in 'R' and
'RStudio' and which use formulas and versatile summary statistics for summary
tables and models. The primary functions include tableby(), a Table-1-like
summary of multiple variable types 'by' the levels of one or more categorical
variables; paired(), a Table-1-like summary of multiple variable types paired across
two time points; modelsum(), which performs simple model fits on one or more endpoints
for many variables (univariate or adjusted for covariates);
freqlist(), a powerful frequency table across many categorical variables;
comparedf(), a function for comparing data.frames; and
write2(), a function to output tables to a document.

broom, stringr, magrittr, knitr, rmarkdown, testthat, xtable,
pander, survival (>= 2.41-3), coin, pROC, MASS, gam, rpart,
yaml

broom, stringr, magrittr, rmarkdown, testthat, xtable,
pander, survival (>= 2.41-3), coin, pROC, MASS, gam, rpart,
yaml

broom (>= 0.7.0), stringr, magrittr, rmarkdown, testthat,
xtable, pander, survival (>= 2.41-3), coin, pROC, MASS, gam,
rpart, yaml

broom (>= 0.7.1), magrittr, rmarkdown, testthat, xtable,
pander, survival (>= 2.43-1), coin, pROC, MASS, splines, rpart,
yaml, geepack

Analysis and Simulation of Environmental DNA Experiments
c(person(given = "Matt", family = "Espe",
role = c("aut", "cre"),
email = "mespe@ucdavis.edu"),
person(given = "Myfanwy", family = "Johnston",
role = c("aut"),
email = "myfanwy.johnston@fishsciences.net"))
Provides a modeling framework for the design and analysis of experiments collecting environmental DNA.
methods, graphics, stats, ggplot2, R (>= 3.5.0), loo
testthat, knitr, rmarkdown, markdown, covr
Matt Espe [aut, cre],
Myfanwy Johnston [aut]

A. I. McLeod, Farzad Sabzikar, Mark M. Meerschaert
Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral density function for stationary ARTFIMA.

A. I. McLeod, Mark M. Meerschaert, Farzad Sabzikar