Title: Sequential Monte Carlo (SMC) Algorithm
Description: provides functions for particle filtering, auxiliary particle filtering and sequential Monte Carlo algorithms
Packaged: Mon Feb  4 17:31:01 2008; gopi

Description: particle filtering, auxiliary particle filtering and sequential Monte Carlo algorithms

Title: The fit for marglinalized linear model with SMCP penalties.
Maintainer: Jin (Gordon) Liu <jin-liu@uiowa.edu>
Description: A package containing functions that generate microarray
data, fit the marginalized linear model with MCP and QA
penalties and conduct cross-validation to select the tuning

Title: Smoothed minimax concave penalization (SMCP) method for
Description: A package containing functions that fit the marginalized

Description: A package containing functions for genome-wide association

Title: Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012).
Author: Tobias Verbeke, based on datasets provided on the book's
Description: Data Sets for Kumar and Petersen (2012).  Statistical
Methods in Customer Relationship Management, Wiley: New York.

Author: Tobias Verbeke, based on datasets provided on the book's website
Description: Data Sets for Kumar and Petersen (2012).
Statistical Methods in Customer Relationship Management,

Title: Identification of Somatic Mutation-Driven Immune Cells
Description: A computing tool is developed to automated identify somatic mutation-driven immune cells. The operation modes including: i) inferring the relative abundance matrix of tumor-infiltrating immune cells and integrating it with a particular gene mutation status, ii) detecting differential immune cells with respect to the gene mutation status and converting the abundance matrix of significant differential immune cell into two binary matrices (one for up-regulated and one for down-regulated), iii) identifying somatic mutation-driven immune cells by comparing the gene mutation status with each immune cell in the binary matrices across all samples, and iv) visualization of immune cell abundance of samples in different mutation status.
Imports: GSVA, samr, e1071, parallel, preprocessCore, pheatmap,
maftools, grDevices, survival, survminer, MASS, pracma