Title: Utilities to Fit Paired Comparison Models for Preferences
Depends: R (>= 3.0.0), stats, graphics, gnm (>= 1.0-0), colorspace
Description: Generates design matrix for analysing real paired comparisons and derived paired comparison data (Likert type items/ratings or rankings) using a loglinear approach. Fits loglinear Bradley-Terry model (LLBT) exploiting an eliminate feature. Computes pattern models for paired comparisons, rankings, and ratings. Some treatment of missing values (MCAR and MNAR). Fits latent class (mixture) models for paired comparison, rating and ranking patterns using a non-parametric ML approach.

email = "marco_maier@posteo.de", role = "cre"))

Title: Names Given to Babies in Quebec Between 1980 and 2020
of the babies born in Quebec between 1980 and 2020.
Packaged: 2021-04-26 12:52:10 UTC; mdesautels

Title: Prepare Figure Region for Base Graphics
Imports: graphics, grDevices, plotrix, shape
Suggests: bookdown, knitr, ggplot2, gridBase
Description: A figure region is prepared, creating a plot region with suitable background color, grid lines or shadings, and providing axes and labeling if not suppressed. Subsequently, information carrying graphics elements can be added (points, lines, barplot with add=TRUE and so forth).

Suggests: bookdown, knitr, rmarkdown, ggplot2, gridBase

Title: Tools for Preprocessing Combinations
Description: Preprocessing is often the most time-consuming phase in knowledge
discovery and preprocessing transformations interdependent in unexpected
ways. This package helps to make preprocessing faster and more effective. It
provides an S4 framework for creating and testing preprocessing combinations
for classification, clustering and outlier detection. The framework supports
user-defined and domain-specific preprocessors and preprocessing phases.
Default preprocessors can be used for low variance removal, missing value
imputation, scaling, outlier removal, noise smoothing, feature selection and
Imports: DMwR, randomForest, caret, caretEnsemble, methods,
Collate: '00Utils.R' '01DataClass.R' '02PhaseClass.R' '03BaseClass.R'