Depends: R (>= 2.10), methods, graphics, tcltk, R2HTML
Description: Functions, S4 classes/methods and a graphical user interface (GUI) to design surveys to substantiate freedom from disease using a modified hypergeometric function (see Cameron and Baldock, 1997, <doi:10.1016/s0167-5877(97)00081-0>). Herd sensitivities are computed according to sampling strategies "individual sampling" or "limited sampling" (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002, <doi:10.1016/S0167-5877(01)00245-8>). Methods to compute the a-posteriori alpha-error are implemented. Risk-based targeted sampling is supported.

Title: Generate, Visualise, and Compare Fast and Frugal Decision Trees
Authors@R: person("Nathaniel", "Phillips", email = "Nathaniel.D.Phillips.is@gmail.com",
Description: Fast and Frugal Trees (FFTs) are very simply decision trees for
classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.;
no cancer vs. true cancer). FFTs can be preferable to more complex algorithms (such as
logistic regression) because they are easy to communicate and implement, and are
robust against noisy data. This package contains several functions that allow users
to input their own data, set model criteria and visualize the best tree(s) for their data.
Imports: rpart, snowfall, MASS, circlize, graphics
Packaged: 2016-07-12 09:03:30 UTC; nphillips

Description: Fast and Frugal Trees (FFTs) are very simple decision trees for
to create, visualize, and test FFts from their input their own data.
Imports: rpart, MASS, circlize, graphics
Packaged: 2016-07-19 11:55:10 UTC; nphillips

Packaged: 2016-07-21 16:59:18 UTC; nphillips

Description: Contains several functions that allow users
to create, visualize, and test Fast and Frugal Trees (FFTs). FFts are very simple decision trees for
no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTs can be preferable to more complex algorithms (such as
Packaged: 2016-08-16 19:04:01 UTC; nphillips

Description: Contains several functions that allow you
to create, visualise, and test Fast and Frugal Trees (FFTrees). FFTrees are very simple decision trees for
no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTrees can be preferable to more complex algorithms (such as
Packaged: 2016-08-23 11:21:25 UTC; nphillips