c(person("Constantino A.", "Garcia",
email = "constantino.garciama@ceu.es",
role = c("aut", "cre")),
person("Gunther", "Sawitzki",
role = "ctb"))
Functions for nonlinear time series analysis. This package permits
the computation of the  most-used nonlinear statistics/algorithms
including generalized correlation dimension, information dimension,
largest Lyapunov exponent, sample entropy and Recurrence
Quantification Analysis (RQA), among others. Basic routines
for surrogate data testing are also included. Part of this work
was based on the  book "Nonlinear time series analysis" by
Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
Matrix, rgl, tseries, zoo, Rcpp (>= 0.12.12), graphics, stats
Constantino A. Garcia [aut, cre],
Gunther Sawitzki [ctb]

Matrix, tseries, zoo, Rcpp (>= 0.12.12), graphics, stats,
lifecycle

c(person("Constantino A.", "Garcia",
email = "constantinoantonio.garcia@usc.es",
role = c("aut", "cre")),
person("Gunther", "Sawitzki",
role = "ctb"))
Functions for nonlinear time series analysis. This package permits
the estimation of the  most-used nonlinear statistics/algorithms
including generalized correlation dimension, information dimension,
largest Lyapunov exponent, sample entropy and Recurrence
Quantification Analysis (RQA), among others. Basic routines
for surrogate data testing are also included. Part of this work
was based on the  book "Nonlinear time series analysis" by
Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
Matrix, rgl, tseries, TSA, Rcpp (>= 0.10.5)

Matrix, rgl, tseries, TSA, Rcpp (>= 0.10.5), graphics, stats

Matrix, rgl, tseries, TSA, zoo, Rcpp (>= 0.12.12), graphics,
stats

Orphaned on 2018-09-23 as there was no response to
requests to correct installation problems.

Loading NONMEM Output Files and Simulate with Parameter
Uncertainty
Loading NONMEM (NONlinear Mixed-Effect Modeling, <http://www.iconplc.com/innovation/solutions/nonmem/> ) output files and simulate with parameter uncertainty.
mvtnorm, lattice, latticeExtra, MASS, splines2