Imports: FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel,
textclean, tm, e1071, SnowballC, data.table, fastmatch,

Description: This is for code management functions, NLP tools, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.
Packaged: 2022-01-26 20:44:27 UTC; travisbarton

tm, e1071, SnowballC, data.table, fastmatch, neuralnet
Packaged: 2022-04-27 20:27:08 UTC; travisbarton

Title: A Limnology Themed Palette Generator
Description: Palettes generated from limnology based field and laboratory photos. Palettes can be used to generate color values to be used in any functions that calls for a color (i.e. ggplot(), plot(), flextable(), etc.).
Authors@R: c(person("Paul", "Julian", role = c("aut", "cre"),
email = "pauljulianphd@gmail.com", comment = c(ORCID = "0000-0002-7617-1354")))
Author: Paul Julian [aut, cre] (<https://orcid.org/0000-0002-7617-1354>)

Title: Static Univariate Frequentist and Bayesian Linear Calibration
Author: Derick L. Rivers <riversdl@alumni.vcu.edu> and Edward L. Boone
Maintainer: Derick L. Rivers <riversdl@alumni.vcu.edu>
Description: Estimate and confidence/credible intervals for an unknown
Packaged: 2022-04-28 13:40:09 UTC; derickrivers

Author: Derick L. Rivers <riversdl@vcu.edu> and Edward L. Boone
Maintainer: Derick L. Rivers <riversdl@vcu.edu>
Packaged: 2014-11-07 18:06:26 UTC; derickrivers

Title: Interactive Interpretation of Linear Regression Models
Description: Interactive visualization of effects and marginal effects for
linear regression models and of link functions, response functions and
marginal effects for generalized linear regression models with binary
dependent variables. A major feature is the handling of the effects of
categorical covariates: if two or more factors are used as covariates every
combination of the levels of each factor is treated separately. The
interactive approach, the automatic calculation of marginal effects and
far-reaching possibilities to customize the graphical output are
Packaged: 2014-08-18 13:26:26 UTC; meermeyer