Title: Estimation and Prediction of Skewed Spatial Processes
Author: Jiangyan Wang, Miao Yang and Anandamayee Majumdar
Description: A collection of functions designed to estimate and predict skewed spatial processes, and a real data set.

Description: MCMC method to estimate and predict skewed spatial processes. A real data set is included. Reference: Wang, Yang and Majumdar (2018) <doi.org/10.1007/s00180-017-0741-3>.

Title: Diagnostic accuracy of classification models.
Author: Sergej Potapov, Werner Adler and Berthold Lausen.
Description: Several functions for evaluating the accuracy of
classification models. The package provide the following
performance measures: "cv", "0.632" and "0.632+" estimation of
the misclassification rate, sensitivity, specifity and auc. If
an application is computationally intensive, parallel execution
Suggests: snow, multicore, MASS, rpart, ipred, e1071, randomForest,
Packaged: 2009-06-24 12:56:09 UTC; sergejpotapov

Author: Sergej Potapov, Werner Adler, Benjamin Hofner and Berthold Lausen.
classification models. The package provides the following
performance measures: repeated k-fold cross-validation,
0.632 and 0.632+ bootstrap estimation of the misclassification rate,
sensitivity, specificity and AUC. If an application is
computationally intensive, parallel execution can be used
Suggests: MASS, rpart, ipred, e1071, randomForest, mboost, TH.data

Description: Interactively train neural networks on Numerai, <https://numer.ai/>, data. Generate tournament predictions and write them to a CSV.

Title: Dandelion Plot for R-mode Exploratory Factor Analysis
Author: Artur Manukyan, Ahmet Sedef, Erhan Cene, Ibrahim Demir
Description: This package contains the function used to create
Dandelion Plot. Dandelion Plot is a visualization method for

Description: This package contains the function used to create the

Author: Artur Manukyan, Ahmet Sedef, Erhan Cene, Ibrahim Demir (Advisor)
Description: This package contains the function used to create the Dandelion Plot. Dandelion Plot is a visualization method for R-mode Exploratory Factor Analysis