'FilteringF.r' 'gridfunction.r' 'GridP.r' 'LikeF.r' 'LikeF2.r'
'ngssm.bayes.r' 'ngssm.mle.r' 'NumFail.r' 'PlotF.r'
'Prediction.r' 'PriorF.r' 'ProdXtChi.r' 'SmoothingF.r'
'TTime.r' 'ngssm.mle.p.r' 'predict.ngssm.mle.p.r'
'ngssm.bayes.p.r' 'predict.ngssm.bayes.p.r'
'summary.ngssm.bayes.r' 'summary.ngssm.mle.r'

Randall Pruim <rpruim@calvin.edu>, Daniel Kaplan
<kaplan@macalester.edu>, Nicholas Horton <nhorton@amherst.edu>
Body Shape and related measurements from the US National Health
and Nutrition Examination Survey (NHANES, 1999-2004).  See
http://www.cdc.gov/nchs/nhanes.htm for details.

Data from the US National Health and Nutrition Examination Study

Non-hierarchical evolutionary multi-objective tree learner to
perform cost-sensitive classification
NHEMOtree performs cost-sensitive classification by
solving the two-objective optimization problem of minimizing
misclassification rate and minimizing total costs for
classification. The three methods comprised in NHEMOtree are
based on EMOAs with either tree representation or bitstring
representation with an enclosed classification tree algorithm.

Scores for Every Season Since the Founding of the NHL in 1917
Each dataset contains scores for every game during a specific season of the NHL.

Bayesian Non-Homogeneous Markov and Mixture Models for Multiple
Time Series
This work was supported by a grant from the U.S.
Department of Energy, (through the Earth System Models (EaSM)
program.( This package was developed under the direction of
Padhraic Smyth at the Department of Computer Science and
Statistics at the University of California, Irvine and in
collaboration with Andrew Robertson and Arthur Greene of the
International Research Institute for Climate and Society at The
Earth Institute at Columbia University.
Holsclaw, Greene, Robertson, and Smyth (2017) <doi:10.1214/16-AOAS1009>. Bayesian HMM and NHMM modeling for multiple time series. The emission distribution can be mixtures of Exponential, Gamma, Poisson, or Normal distributions, and zero
inflation is possible.