Identification, model fitting and estimation for time series with periodic structure.
Additionally procedures for simulation of periodic processes
and real data sets are included.
corpcor, gnm, matlab, Matrix, signal, stats

Permutation Tests for Randomization Model
c(person("Duy Nghia", "Pham", email = "nghiapham@yandex.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1349-1710")),
person("Inna M.", "Sokolova", role = "ths",
comment = c(ORCID = "0000-0002-2068-4302")))
Perform permutation-based hypothesis testing for randomized
experiments, as described in Ernst (2004) <doi:10.1214/088342304000000396>.

Implementing Double Bootstrap Linear Regression Confidence
Intervals Using the 'perc-cal' Method
Contains functions which allow the user to compute confidence intervals quickly using the double bootstrap-based percentile calibrated ('perc-cal') method for linear regression coefficients. 'perccal_interval()' is the primary user-facing function within this package.

Estimate Percentiles from an Ordered Categorical Variable
An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.
magrittr, dplyr, purrr, stats, tibble, broom, tidyr, multcomp,
haven, tidyverse, ggplot2, devtools, MASS

magrittr, dplyr, purrr, stats, tibble, broom, tidyr, multcomp
spelling, knitr, rmarkdown, testthat, ggplot2, haven, MASS

spelling, knitr, rmarkdown, testthat, ggplot2, MASS, carData

person("Jorge", "Cimentada", email = "cimentadaj@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5594-1156"))
magrittr, spelling, dplyr, knitr, rmarkdown, testthat,
ggplot2, MASS, carData, tidyr (>= 1.0.0), covr
Jorge Cimentada [aut, cre] (<https://orcid.org/0000-0001-5594-1156>)

J. Peter Marquardt <peter@kmarquardt.de> [aut, cre]
Calculate (stratified) percentiles on a data.frame
Stratification will split the data.frame into subgroups and calculate percentiles for each independently.