Nonparametric Smooth ROC Curves for Continuous Data
This package contains a collection of functions to perform
nonparametric estimation of receiver operating characteristic
(ROC) curves for continuous data.

Provides you with easy, programmatic access to SRDP data.

Tools Developed for Structured Sufficient Dimension Reduction
(sSDR)
Yang Liu <zjubioly@gmail.com>, Francesca Chiaromonte, Bing Li
Performs groupwise OLS (gOLS) and groupwise SIR (gSIR).

Performs structured OLS (sOLS) and structured SIR (sSIR).

Measures of the Sturdiness of Regression Coefficients
The sValues package implements the s-values proposed by Ed. Leamer.

The sValues package implements the s-values proposed by Ed. Leamer.
It provides a context-minimal approach for sensitivity analysis using extreme
bounds to assess the sturdiness of regression coefficients.

Implements the s-values proposed by Ed. Leamer.
It provides a context-minimal approach for sensitivity analysis using extreme
bounds to assess the sturdiness of regression coefficients.

Somatic Copy Number Alteration Analysis Using Sequencing and SNP
Array Data
Zhongyang Zhang [aut, cre],
Ke Hao [aut],
Nancy R. Zhang [ctb]
Perform joint segmentation on two signal dimensions derived from
total read depth (intensity) and allele specific read depth (intensity) for
whole genome sequencing (WGS), whole exome sequencing (WES) and SNP array data.

Background Removal and Spectrum Identification for SERS Data
c(
person("Li", "Jun", email = "jun.li@nd.edu", role = "cre"),
person("Wang", "Chuanqi", email = "cwang14@nd.edu", role = 'aut'))
Implements a new approach 'SABARSI' described in Wang et al., "A Statistical Approach of Background Removal and Spectrum Identification for SERS Data" (Unpublished).
Sabarsi forms a pipeline for SERS (surface-enhanced Raman scattering) data analysis including background removal, signal detection, signal integration, and cross-experiment comparison. The background removal algorithm, the very first step of SERS data analysis, takes into account the change of background shape.