person("Ricardo", "Oliveros-Ramos", email="ricardo.oliveros@gmail.com", role=c("aut", "cre")))
Title: Automated Parameter Estimation for Complex (Ecological) Models
Description: Automated parameter estimation for complex (ecological) models in R.
This package allows the parameter estimation or calibration of complex models,
including stochastic ones. It is a generic tool that can be used for fitting
any type of models, especially those with non-differentiable objective functions.
It supports multiple phases and constrained optimization.
It implements maximum likelihood estimation methods and automated construction
of the objective function from simulated model outputs.
See <http://roliveros-ramos.github.io/calibrar> for more details.
Imports: cmaes, optimx, foreach, parallel, stats, utils
Author: Ricardo Oliveros-Ramos [aut, cre]

Description: Package for drawing calibrated scales with tick marks on (non-orthogonal)
variable vectors in scatterplots and biplots.
Packaged: Sat Jan 21 12:49:12 2006; hornik

Title: Calibration of Scatterplot and Biplot Axes
Description: Package for drawing calibrated scales with tick marks on
(non-orthogonal) variable vectors in scatterplots and biplots.

variable vectors in scatterplots and biplots. Also provides some functions for multivariate analysis

variable vectors in scatterplots and biplots. Also provides some functions for biplot creation and
for multivariate analysis such as principal coordinate analysis.

Title: Calibration for Computer Experiments with Binary Responses
Description: Performs the calibration procedure proposed by Sung et al. (2018+) <arXiv:1806.01453>. This calibration method is particularly useful when the outputs of both computer and physical experiments are binary and the estimation for the calibration parameters is of interest.
Imports: GPfit, gelnet, kernlab, randtoolbox

Description: Package to assess the calibration of probabilistic classifiers using confidence bands for monotonic functions. Besides testing the classical goodness-of-fit null hypothesis of perfect calibration, the confidence bands calculated within that package facilitate inverted goodness-of-fit tests whose rejection allows for a sought-after conclusion of a sufficiently well-calibrated model. The package creates flexible graphical tools to perform these tests.  For construction details see also Dimitriadis, Dümbgen, Henzi, Puke, Ziegel (2022) <arXiv:2203.04065>.
Imports: Rcpp, ggplot2, tibble, dplyr, tidyr, sp, methods, base, stats,