Title: The Greatest Mathematician Since Antiquity
Description: Display a random fact about Carl Friedrich Gauss
based the on collection curated by Mike Cavers via the

Functions to predict values from a two-dimensional Gaussian function and
produce plots of predicted data via either 'ggplot2' or base R plotting.
Packaged: 2020-10-14 02:24:20 UTC; thalassoma
Author: Vikram B. Baliga [aut, cre, cph]
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>

Packaged: 2020-11-03 06:13:50 UTC; thalassoma

Title: Fit, Predict and Plot 2D Gaussians
Functions to fit two-dimensional Gaussian functions, predict values from
fits, and produce plots of predicted data via either 'ggplot2' or base R
Packaged: 2020-11-28 06:28:19 UTC; thalassoma

Imports: ggplot2 (>= 3.3.0), metR (>= 0.7.0), rgl, viridisLite
Suggests: lattice, knitr, rmarkdown, testthat

Package: gausspred
Version: 1.0-0
Title: Bayesian Classification with High-dimensional Gaussian Profiles
Author: Longhai Li <longhai@math.usask.ca>
Maintainer: Longhai Li <longhai@math.usask.ca>
Depends: R (>= 2.8.1)
Description: This software is used to predict the discrete response
based on selected high dimensional features, such as gene
expression data. The data are modeled with Bayesian Gaussian
models. When a large number of features are available, one may
like to select only a subset of features to use, typically
those features strongly correlated with the response in
training cases. Such a feature selection procedure is however
invalid since the relationship between the response and the
features will appear stronger. This package provides a way to
avoid this bias and yields well-calibrated prediction for the
test cases when one uses F-statistic to select features.
License: GPL (>= 2)
URL: http://www.r-project.org, http://math.usask.ca/~longhai
Packaged: Tue Aug 25 09:32:29 2009; longhai
Repository: CRAN
Date/Publication: 2009-08-25 15:35:34

Title: Collection of functions for Gaussian quadrature
Depends: R (>= 2.0.1), polynom, orthopolynom
Description: A collection of functions to perform Gaussian quadrature
with different weight functions corresponding to the orthogonal
polynomials in package orthopolynom.  Examples verify the
orthogonality and inner products of the polynomials.