Title: Summarise Data in the Quick and Easy Way
Authors@R: person("Hao", "Zhu", email = "haozhu@hsl.harvard.edu", role = c("aut", "cre"))
Description: Functions that can fulfill the gap between the outcomes of 'dplyr' and a print-ready summary table.

Title: Generate Data Summarization in a Tidy Format
person("Hao", "Zhu", email = "haozhu233@gmail.com", role = c("aut", "cre")),
person("Thomas", "Travison", email = "TGT@hsl.harvard.edu", role = c("ctb")),
person("Timothy", "Tsai", email = "TimothyTsai@hsl.harvard.edu", role = c("ctb")),
person("Akhmed", "Umyarov", email = "aumyarov@umn.edu", role = c("ctb"))
Description: Functions that simplify the process of generating print-ready data summarization using 'dplyr' syntax.

Title: Generate Data Summary in a Tidy Format
Description: Functions that simplify the process of generating print-ready data summary using 'dplyr' syntax.

Title: Nonparametric Analysis of Covariance
Description: This package contains a collection of R functions to
perform nonparametric analysis of covariance for regression
curves or surfaces. Testing the equality or parallelism of
nonparametric curves or surfaces is equivalent to analysis of
variance (ANOVA) or analysis of covariance (ANCOVA) for
one-sample functional data. Three different testing methods are
available in the package, including one based on L-2 distance,
one based on an ANOVA statistic, and one based on variance

Description: A collection of R functions to perform nonparametric
analysis of covariance for regression curves or surfaces.
Testing the equality or parallelism of nonparametric curves
or surfaces is equivalent to analysis of variance (ANOVA) or
analysis of covariance (ANCOVA) for one-sample functional data.
Three different testing methods are available in the package,
including one based on L-2 distance, one based on an ANOVA
statistic, and one based on variance estimators.

Depends: R (>= 2.4.0), methods, timeDate, timeSeries, fBasics
Maintainer: Rmetrics Core Team <Rmetrics-core@r-project.org>
Description: Environment for teaching "Financial Engineering and
NOTE: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE
FUTURE. THIS TYPICALLY INCLUDES FUNCTION AND ARGUMENT NAMES, AS
WELL AS DEFAULTS FOR ARGUMENTS AND RETURN VALUES.