Description: Contains data sets from Bernard Flury (1997) A First Course in Multivariate Statistics, Springer NY
License: To be used in association with Flury's book
Packaged: Thu Jun 22 20:50:59 2006; hornik

Packaged: Mon Oct  8 21:09:34 2007; paul

Description: Contains data sets from Bernard Flury (1997) A First
Course in Multivariate Statistics, Springer NY

Packaged: Fri Jun 16 13:06:28 2006; Paul

Authors@R: c(person(family = "Masinde", given = "Brian", role = c("aut", "cre"),
email= "masindeb@live.com"), person(family = "Bartoszek", given = "Krzysztof",
role = c("ctb", "ths"), email= "krzbar@protonmail.ch"))
Description: Functions for range estimation in birds based on Pennycuick (2008)
and Pennycuick (1975), 'Flight' program which compliments Pennycuick (2008)
requires manual entry of birds which can be tedious when there are hundreds
of birds to estimate. Implemented are two ODE methods discussed in Pennycuick (1975)
and time-marching computation methods as in Pennycuick (1998) and Pennycuick (2008).
Imports: utils, Rcpp (>= 1.0.2), knitr, kableExtra, rmarkdown

Title: Estimate Migration Birds Flyways Network with HSMM
person(given="Marie-Josée", family="Cros", email = "Marie-Josee.Cros@inrae.fr", role = c("aut", "cre")),
person(given="Sam", family="Nicol", email = "Sam.Nicol@csiro.au", role = "aut"),
person(given="Nathalie", family="Peyrard", email = "Nathalie.Peyrard@inrae.fr",  role = "aut"),
person(given="Régis", family="Sabbadin", email = "Regis.Sabbadin@inrae.fr", role = "aut"),
person(given="Ronan", family="Trépos", email = "Ronan.Trepos@inrae.fr", role = "aut") )
Description: Estimate migration birds flyways network from counts with
a Hidden Semi-Markov Model (HSMM). Implements several methods to estimate parameters:
Monte Carlo Expectation–Maximization (MCEM) and Approximate Bayesian Approach (ABC).
Imports: utils, stats, graphics, igraph, Rcpp, EasyABC, modeest

Description: Provides classical (bottom-up), optimal and heuristic combination
forecast reconciliation procedures for cross-sectional, temporal, and
cross-temporal linearly constrained time series.
Depends: R (>= 2.10), Matrix, osqp, stats
Author: Daniele Girolimetto [aut, cre, fnd],