Imports: doParallel, emplik, FlexDir, foreach, MASS, mda, mixture,
parallel, RANN, Rfast, Rfast2, sn, stats

Imports: codalm, doParallel, emplik, FlexDir, foreach, MASS, mda,
mixture, nnet, parallel, RANN, Rfast, Rfast2, sn, stats

Imports: codalm, Directional, doParallel, emplik, FlexDir, foreach,
MASS, mda, mixture, NlcOptim, nnet, parallel, RANN, Rfast,

Title: Statistical Modeling of Compound Events
Description: Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and quantifying impacts of compound events in hydrology and climatology. Please see Hao Zengchao et al. (2019) <doi:10.1088/1748-9326/ab4df5>.

Author: Bozidar V. Popovic, Saralees Nadarajah, Miroslav M. Ristic
Maintainer: Bozidar V. Popovic <bozidarpopovic@gmail.com>
Description: Computing Continuous Distributions Obtained by Compounding
a Continuous and a Discrete Distribution

Maintainer: Bozidar V. Popovic <bozidarpopovic@gmail.com>, Saralees
Obtained by Compounding a Continuous and a

Title: This package contains an implementation of continuous convex
piecewise (linear) functions (quadratic coming soon
Description: Continuous convex piecewise linear (ccpl) resp. quadratic
(ccpq) functions can be implemented with sorted breakpoints and
slopes. This includes functions that are ccpl (resp. ccpq) on a
convex set (i.e. an interval or a point) and infinite out of
the domain. These functions can be very useful for a large
class of optimisation problems. Efficient manipulation (such as
log(N) insertion) of such data structure is obtained with map
standard template library of C++ (that hides balanced trees).
This package is a wrapper on such a class based on Rcpp

Depends: methods, graphics, Rcpp (>= 0.10.2)

piecewise (linear and quadratic) functions
Depends: methods, graphics, Rcpp (>= 0.10.3)

Description: Continuous convex piecewise linear (ccpl) resp. quadratic (ccpq) functions can be implemented with sorted breakpoints and slopes. This includes functions that are ccpl (resp. ccpq) on a convex set (i.e. an interval or a point) and infinite out of the domain. These functions can be very useful for a large class of optimisation problems. Efficient manipulation (such as log(N) insertion) of such data structure is obtained with map standard template library of C++ (that hides balanced trees). This package is a wrapper on such a class based on Rcpp modules.