Packaged: 2021-03-31 08:48:52 UTC; nikita.kozodoi

Title: Feature Annealed Independence Rules (demo)
Description: Use FAIR to do classification on the high dimensional data

Description: Allows user to obtain subsets of columns of data or vectors within a list.  These subsets will match the original data in terms of average and variation, but have a consistent length of data per column.  It is intended for use on automated data generation which may not always output the same N per replicate or sample.

Title: Faisal Conjoint Model: A New Approach to Conjoint Analysis
Author: Faisal Afzal Siddiqui, Ghulam Hussain, and Mudassiruddin
Maintainer: Faisal Afzal Siddiqui <brc.khi@gmail.com>
Description: It is used for systematic analysis of decisions based on

Author: Faisal Afzal Siddiqui, Ghulam Hussain, and Mudassir Uddin

Description: It is used for systematic analysis of decisions based on attributes and its levels.

Title: Flexible Data Simulation Using the Multivariate Normal
Description: Simulation of data from Gaussian Graphical Models (B Bodinier, S Filippi, TH Nost, J Chiquet, M Chadeau-Hyam (2021) <arXiv:2106.02521>). By controlling the conditional independence structure between the variables, these multivariate simulation tools can be used to evaluate the performance of regression, dimensionality reduction or graphical models.
Imports: huge, igraph, MASS, Rdpack, withr (>= 2.4.0)

Title: Simulates Data from a Data Frame of Different Variable Types
Authors@R: c(person("Lily", "Zhang", email = "lilyhzhang1029@gmail.com",
Description: Generates fake data from a dataset of different variable types.
The package contains the functions simulate_dataset and simulate_dataset_ts
to simulate time-independent and time-dependent data. It randomly samples
character and factor variables from contingency tables and  numeric and
ordered factors from a multivariate normal distribution. It currently supports the
simulation of stationary and zero-inflated count time series.
Imports: mvtnorm, polycor, pscl, VGAM, stats
Packaged: 2016-05-26 06:59:29 UTC; lilyzhang