Fetch the Cleveland Federal Reserve Bank easing policy tool
data.
Forms queries to submit to the Cleveland Federal Reserve Bank web
site's easing policy tools data site.  Provides various query functions
according to the easing data desired.  By default the download includes
easing tool weekly time series data starting January 2007.  The functions
return a class of type easing which contains a list of items related to the
query and its graphical presentation.  The list includes the time series
data as an xts object.  The package provides two lattice time series plots
to render the data in a manner similar to the bank's own presentation.

Fetch and plot credit easing policy tool data.
Forms queries to submit to the Cleveland Federal Reserve Bank web
site's credit easing policy tools data site.  Provides various query functions
according to the easing data desired.  By default the download includes
easing tool weekly time series data starting January 2007.  The functions
return a class of type easing which contains a list of items related to the
query and its graphical presentation.  The list includes the time series
data as an xts object.  The package provides two lattice time series plots
to render the data in a manner similar to the bank's own presentation.

Given the scores from decision makers, the analytic hierarchy process can be conducted easily.

Univariate and multivariate methods for compositional data analysis,
based on logratios.

Univariate and multivariate methods for compositional data
analysis, based on logratios. The package implements the approach in the
book Compositional Data Analysis in Practice by Michael Greenacre (2018),
where accent is given to simple pairwise logratios. Selection can be made
of logratios that account for a maximum percentage of logratio variance.
Various multivariate analyses of logratios are included in the package.

Descriptive analysis is essential for publishing medical articles.
This package provides an easy way to conduct the descriptive analysis.
1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test.
2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables.
3. ANOVA or Fisher test can be forced to apply.