Useful for building signature matrices from single cell RNAseq data, determine cell type deconvolution
spillover, and hierarchical deconvolution to use spillover to increase deconvolution accuracy. Please cite:
Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for
Tissue Specific cells <doi:10.1101/633958>. This package expands on the techniques outlined in Newman AM,
Liu CL, Green MR, Gentles AJ, Feng W, Xu Y,
quantmod, preprocessCore, pcaMethods, foreach, DeconRNASeq,
Packaged: 2019-06-17 20:24:39 UTC; sdanziger

Packaged: 2019-08-06 22:54:12 UTC; sdanziger

Packaged: 2019-10-28 23:07:44 UTC; sdanziger

Description: Tools to construct (or add to) cell-type signature matrices using flow sorted or single cell samples and deconvolve bulk gene expression data.
Useful for assessing the quality of single cell RNAseq experiments, estimating the accuracy of signature matrices, and determining cell-type spillover.
Please cite: Danziger SA et al. (2019) ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells <doi:10.1371/journal.pone.0224693>.
Imports: missForest, e1071, ComICS, pheatmap, doParallel, utils,
quantmod, preprocessCore, pcaMethods, foreach, nnls, ranger

Packaged: 2020-08-31 17:13:24 UTC; sdanziger

Packaged: 2020-10-13 23:42:48 UTC; sdanziger

Title: Adaptive Design in Clinical Trials
Description: Existing adaptive design methods in clinical trials. The package
includes power, stopping boundaries (sample size) calculation functions for
two-group group sequential designs, adaptive design with coprimary endpoints,
Packaged: 2016-11-19 20:12:29 UTC; kaijingzhang

Title: A Package for Analysis of Accelerated Destructive Degradation
Author: Yili Hong, Yimeng Xie, and Caleb King
Description: Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the collected data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparison. This package performs the least squares (LS) and maximum likelihood (ML) procedures for estimating TI for polymeric materials. The LS approach is a two-step approach that is currently used in industrial standards, while the ML procedure is widely used in the statistical literature. The ML approach allows one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Two publicly available datasets are provided to allow users to experiment and practice with the functions.