Contains functions for data preparation,
	prediction of transition probabilities,
	estimating semi-parametric regression models
	and for implementing nonparametric estimators
	for other quantities. See Meira-Machado and
	Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.

It provides tools for conducting performance attribution for equity portfolios. The package uses two methods: the Brinson method and a regression-based analysis.

Precision agriculture spatial data
 depuration and homogeneous zones (management zone) delineation.
 The package includes functions that performs protocols for data cleaning
 management zone delineation and zone comparison; protocols are described in 
 Paccioretti et al., (2020) <doi:10.1016/j.compag.2020.105556>.

Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.

Investigate (analytically or visually) the inputs and outputs 
    of probabilistic analyses of health economic models using standard
    health economic visualisation and metamodelling methods.

Functions to easily convert data to binary formats other programs/machines can understand.

It provides utility functions for investigating changes within R
    packages. The pkgInfo() function extracts package information such as
    exported and non-exported functions as well as their arguments. The
    pkgDiff() function compares this information for two versions of a package
    and creates a diff file viewable in a browser.

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