Title: Positive definite sparse covariance estimators
Description: A package to compute and tune some positive definite and

Title: Positive Definite Sparse Covariance Estimators
Description: Compute and tune some positive definite and sparse covariance

Description: Interactive shiny application for working with Probability Distributions. Calculations and  Graphs are provided.
Packaged: 2018-11-16 07:14:19 UTC; KARTIKEYA

Title: Collection of Tools for PD Rating Model Development
Description: The goal of this package is to cover the most common steps in probability of default (PD) rating model development and validation.
The main procedures available are those that refer to univariate, bivariate, multivariate analysis, calibration and validation.
Along with accompanied 'monobin' and 'monobinShiny' packages, 'PDtoolkit' provides functions which are suitable for different
data transformation and modeling tasks such as:
imputations, monotonic binning of numeric risk factors, binning of categorical risk factors, weights of evidence (WoE) and
information value (IV) calculations, WoE coding (replacement of risk factors modalities with WoE values), risk factor clustering,
area under curve (AUC) calculation and others. Additionally, package provides set of validation functions for testing homogeneity,
heterogeneity, discriminatory and predictive power of the model.
Packaged: 2022-01-03 09:38:53 UTC; adjurovic

Title: Collection of Tools for PD Rating Model Development and
Packaged: 2022-02-04 15:27:39 UTC; adjurovic

Packaged: 2022-03-06 08:43:00 UTC; adjurovic

Packaged: 2022-04-27 18:46:26 UTC; adjurovic

Packaged: 2022-06-05 06:30:03 UTC; adjurovic

Packaged: 2022-11-16 06:17:57 UTC; adjurovic

Title: Pareto Enrichment Analysis for Combining Heterogeneous Datasets
Author: Jinyan Chan [aut, cre], Jinghua Gu [aut, cre]
Description: A meta gene set analysis tool developed based on principles of Pareto dominance (William B T Mock (2011) <doi:10.1007/978-1-4020-9160-5_341>). It is designed to combine gene set analysis p-values from multiple transcriptome datasets (e.g., microarray and RNA-Seq). The novel Pareto method for p-value combination allows PEACH to properly model heterogeneity and correlation in Omics datasets.
Packaged: 2020-12-19 02:33:05 UTC; jinyanchan