Description: Find multiple solutions of a nonlinear least squares problem.  Cluster Gauss-Newton method does not assume uniqueness of the solution of the nonlinear least squares problem and compute approximate multiple minimizers. Please cite the following paper when this software is used in your research: Aoki et al. (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method. Optimization and Engineering, 1-31.

Title: Composite Gaussian process models
Description: Fit composite Gaussian process (CGP) models as described
in Ba and Joseph (2012) "Composite Gaussian Process Models for
Emulating Expensive Functions", Annals of Applied Statistics.
The CGP model is capable of approximating complex surfaces that
are not second-order stationary.  Important functions in this
package are CGP, summary.CGP, predict.CGP and plotCGP.

Description: Fit composite Gaussian process (CGP) models as described in Ba and Joseph (2012) "Composite Gaussian Process Models for Emulating Expensive Functions", Annals of Applied Statistics. The CGP model is capable of approximating complex surfaces that are not second-order stationary.  Important functions in this package are CGP, print.CGP, summary.CGP, predict.CGP and plotCGP.

Title: Composite Gaussian Process Models

Title: Powell Miscellaneous Functions for Teaching and Learning
Authors@R: person("Chuck", "Powell", email = "ibecav@gmail.com", role = c("aut", "cre"))
Description: Miscellaneous functions useful for teaching statistics as well as actually practicing the art. They typically are not “new” methods but rather wrappers around either base R or other packages. Currently contains: 'Plot2WayANOVA' which as the name implies conducts a 2 way ANOVA and plots the results using 'ggplot2'. 'neweta' which is a helper function that appends the results of a Type II eta squared calculation onto a classic ANOVA table. Mode which finds the modal value in a vector of data. 'SeeDist' which wraps around 'ggplot2' to provide visualizations of univariate data.
Imports: car, dplyr, ggplot2 (>= 2.2.1), methods, rlang (>= 0.1.6),