Deconvolution Estimation in Measurement Error Models: The R Package decon [0.03%]
测量误差模型中的去卷积估计及R语言实现
Xiao-Feng Wang,Bin Wang
Xiao-Feng Wang
Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors-in-variables are two important topics in measurement error models...
An Interactive Java Statistical Image Segmentation System: GemIdent [0.03%]
交互式Java统计影像分割系统：GemIdent
Susan Holmes,Adam Kapelner,Peter P Lee
Susan Holmes
Supervised learning can be used to segment/identify regions of interest in images using both color and morphological information. A novel object identification algorithm was developed in Java to locate immune and cancer cells in images of i...
Anand Patil,David Huard,Christopher J Fonnesbeck
Anand Patil
This user guide describes a Python package, PyMC, that allows users to efficiently code a probabilistic model and draw samples from its posterior distribution using Markov chain Monte Carlo techniques.
lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations [0.03%]
使用迭代混合序次逻辑回归/项目反应理论和蒙特卡洛模拟检测项目功能差异的R语言包 LORDIF
Seung W Choi,Laura E Gibbons,Paul K Crane
Seung W Choi
Logistic regression provides a flexible framework for detecting various types of differential item functioning (DIF). Previous efforts extended the framework by using item response theory (IRT) based trait scores, and by employing an iterat...
spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models [0.03%]
spBayes空间计量经济学R软件包及其应用
Andrew O Finley,Sudipto Banerjee,Bradley P Carlin
Andrew O Finley
Scientists and investigators in such diverse fields as geological and environmental sciences, ecology, forestry, disease mapping, and economics often encounter spatially referenced data collected over a fixed set of locations with coordinat...
Ivo D Dinov
Ivo D Dinov
The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for pr...
Regularization Paths for Generalized Linear Models via Coordinate Descent [0.03%]
坐标下降法在广义线性模型中的正则化路径分析方法
Jerome Friedman,Trevor Hastie,Rob Tibshirani
Jerome Friedman
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multinomial regression problems while the penalties include ℓ(1) (the la...
rpartOrdinal: An R Package for Deriving a Classification Tree for Predicting an Ordinal Response [0.03%]
rpartOrdinal：一个用于预测有序分类响应变量的分类树的R包
Kellie J Archer
Kellie J Archer
This paper describes an R package, rpartOrdinal, that implements alternative splitting functions for fitting a classification tree when interest lies in predicting an ordinal response. This includes the generalized Gini impurity function, w...
An Implementation of Bayesian Adaptive Regression Splines (BARS) in C with S and R Wrappers [0.03%]
带有S和R包装器的C语言中的Bayesian自适应回归样条(BARS)实现
Garrick Wallstrom,Jeffrey Liebner,Robert E Kass
Garrick Wallstrom
BARS (DiMatteo, Genovese, and Kass 2001) uses the powerful reversible-jump MCMC engine to perform spline-based generalized nonparametric regression. It has been shown to work well in terms of having small mean-squared error in many examples...
ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks [0.03%]
ergm：用于网络的指数族模型的拟合、模拟和诊断软件包
David R Hunter,Mark S Handcock,Carter T Butts et al.
David R Hunter et al.
We describe some of the capabilities of the ergm package and the statistical theory underlying it. This package contains tools for accomplishing three important, and interrelated, tasks involving exponential-family random graph models (ERGM...