Tools for Time Series Analysis Based on Symbolic Aggregate
Dicretization
A set of tools based on time series symbolic discretization and vector space
model that aids in time series characteristic pattern discovery and facilitates
interpretable time series classification.
person("Pavel", "Senin", , "seninp@gmail.com", c("aut", "cre"))

Time Series Analysis Toolkit Based on Symbolic Aggregate
Dicretization, i.e. SAX
Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA
algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly),
and characteristic pattern discovery along with interpretable time series classification.

Implements z-normalization, SAX, HOT-SAX, VSM, and SAX-VSM algorithms
facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly),
and characteristic pattern discovery along with interpretable time series classification.

Time Series Analysis Toolkit Based on Symbolic Aggregate
Discretization, i.e. SAX

Permutation Tests for Nonparametric Statistics
Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a root mean deviance test.  Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions.  Performs power calculations for the binomial test.

Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a ratio mean deviance test.  Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions.  Performs power calculations for the binomial test.

Jonathon Love, Damian Dropmann, Ravi Selker
'jamovi' is a rich graphical statistics program providing many
common statistical tests such as t-tests, ANOVAs, correlation matrices,
proportion tests, contingency tables, etc (see <https://www.jamovi.org> for
more information). This package makes all of the basic 'jamovi' analyses
available to the R user.
jmvcore (>= 0.3), R6, car, multcomp, ggplot2, PMCMR, lsmeans,
lsr, vcd, vcdExtra, GGally, BayesFactor, psych, GPArotation,
afex