Marcus W Beck
Marcus W Beck
Supervised neural networks have been applied as a machine learning technique to identify and predict emergent patterns among multiple variables. A common criticism of these methods is the inability to characterize relationships among variab...
clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R [0.03%]
基于 Gaussian 模型的聚类中的变量选择的 R包 clustvarsel
Luca Scrucca,Adrian E Raftery
Luca Scrucca
Finite mixture modeling provides a framework for cluster analysis based on parsimonious Gaussian mixture models. Variable or feature selection is of particular importance in situations where only a subset of the available variables provide ...
General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv [0.03%]
一般的半参数共享脆弱性模型：利用frailtySurv进行估计和模拟
John V Monaco,Malka Gorfine,Li Hsu
John V Monaco
The R package frailtySurv for simulating and fitting semi-parametric shared frailty models is introduced. Package frailtySurv implements semi-parametric consistent estimators for a variety of frailty distributions, including gamma, log-norm...
Joseph Rigdon,Michael Baiocchi,Sanjay Basu
Joseph Rigdon
Estimating the causal treatment effect of an intervention using observational data is difficult due to unmeasured confounders. Many analysts use instrumental variables (IVs) to introduce a randomizing element to observational data analysis,...
Image Segmentation, Registration and Characterization in R with SimpleITK [0.03%]
基于SimpleITK的R语言医学图像分割、配准及特征提取包
Richard Beare,Bradley Lowekamp,Ziv Yaniv
Richard Beare
Many types of medical and scientific experiments acquire raw data in the form of images. Various forms of image processing and image analysis are used to transform the raw image data into quantitative measures that are the basis of subseque...
Robert G Pearce,R Woodrow Setzer,Cory L Strope et al.
Robert G Pearce et al.
Thousands of chemicals have been profiled by high-throughput screening programs such as ToxCast and Tox21; these chemicals are tested in part because most of them have limited or no data on hazard, exposure, or toxicokinetics. Toxicokinetic...
EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks [0.03%]
EpiModel：一种基于R语言的传染病网络数学模型方法及其软件包
Samuel M Jenness,Steven M Goodreau,Martina Morris
Samuel M Jenness
Package EpiModel provides tools for building, simulating, and analyzing mathematical models for the population dynamics of infectious disease transmission in R. Several classes of models are included, but the unique contribution of this sof...
Christopher H Jackson
Christopher H Jackson
flexsurv is an R package for fully-parametric modeling of survival data. Any parametric time-to-event distribution may be fitted if the user supplies a probability density or hazard function, and ideally also their cumulative versions. Stan...
R2GUESS: A Graphics Processing Unit-Based R Package for Bayesian Variable Selection Regression of Multivariate Responses [0.03%]
基于图形处理单元的Bayesian变量选择回归的R包R2GUESS
Benoît Liquet,Leonardo Bottolo,Gianluca Campanella et al.
Benoît Liquet et al.
Technological advances in molecular biology over the past decade have given rise to high dimensional and complex datasets offering the possibility to investigate biological associations between a range of genomic features and complex phenot...
A Recipe for inferference: Start with Causal Inference. Add Interference. Mix Well with R [0.03%]
因果推断的搅扰效应配方：用R语言搅拌混合
Bradley C Saul,Michael G Hudgens
Bradley C Saul
In causal inference, interference occurs when the treatment of one subject affects the outcome of other subjects. Interference can distort research conclusions about causal effects when not accounted for properly. In the absence of interfer...