Title: General Profiling Method for Delay Differential Equation
Authors@R: c(person("Ziqian", "Zhou", email = "ziqian-zhou@uiowa.edu",
person("Kung-Sik", "Chan", email = "kung-sik-chan@uiowa.edu",
Description: Functions implement collocation-inference for
stochastic process driven by distributed delay differential equations.
They also provide tools for selecting the lags for distributed delay
using shrinkage methods, estimating time-varying coefficients,
Depends: R (>= 3.2.1), fda, CollocInfer (>= 1.0.2)
Imports: penalized, nnls, deSolve, MASS, TSA, lars, limSolve, forecast,

Title: Gaussian Process with Histogram Intersection Kernel
Description: Provides an implementation of a Gaussian process regression with a histogram intersection kernel (HIK) and utilizes approximations to speed up learning and prediction.
In contrast to a squared exponential kernel, an HIK provides advantages such as linear memory and learning time requirements. However, the HIK only provides a piecewise-linear approximation of the function.
Furthermore, the number of estimated eigenvalues is reduced. The eigenvalues and vectors are required for the approximation of the log-likelihood function as well as the approximation of the predicted
variance of new samples. This package provides approximations for a single eigenvalue as well as multiple. Further information of the variance and log-likelihood approximation, as well as the Gaussian
process with HIK, can be found in the paper by Rodner et al. (2016) <doi:10.1007/s11263-016-0929-y>.

Title: gpairs: The Generalized Pairs Plot
Depends: barcode, grid, lattice, vcd, MASS, colorspace
Description: Produces a generalized pairs (gpairs) plot.
Copyright: (C) 2011 John W. Emerson and Walton A. Green

Copyright: (C) 2012 John W. Emerson and Walton A. Green

Imports: grid, barcode, lattice, vcd, MASS, colorspace
Copyright: (C) 2014 John W. Emerson and Walton A. Green

Description: Offers a generalization of the scatterplot matrix based on the recognition that most datasets include both categorical and quantitative information. Traditional grids of scatterplots often obscure important features of the data when one or more variables are categorical but coded as numerical. The generalized pairs plot offers a range of displays of paired combinations of categorical and quantitative variables. Emerson et al. (2013) <DOI:10.1080/10618600.2012.694762>.
Copyright: (C) 2020 John W. Emerson and Walton A. Green