Optimum Allocation for Adaptive Multi-Wave Sampling in R: The R Package optimall [0.03%]
自适应多阶段抽样中R语言的最优分配包optimall
Jasper B Yang,Bryan E Shepherd,Thomas Lumley et al.
Jasper B Yang et al.
The R package optimall offers a collection of functions that efficiently streamline the design process of sampling in surveys ranging from simple to complex. The package's main functions allow users to interactively define and adjust strata...
Arash Pakbin,Xiaochen Wang,Bobak J Mortazavi et al.
Arash Pakbin et al.
Modern applications of survival analysis increasingly involve time-dependent covariates. The Python package BoXHED2.0 (Boosted eXact Hazard Estimator with Dynamic covariates) is a tree-boosted hazard estimator that is fully nonparametric, a...
Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package [0.03%]
基于过去不确定性进行年度总生育率的概率估计和投影：bayesTFR R软件包的主要更新版本
Peiran Liu,Hana Ševčíková,Adrian E Raftery
Peiran Liu
The bayesTFR package for R provides a set of functions to produce probabilistic projections of the total fertility rates (TFR) for all countries, and is widely used, including as part of the basis for the UN's official population projection...
PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals [0.03%]
基于概率刻度残差的R语言残差分析包PResiduals
Qi Liu,Bryan Shepherd,Chun Li
Qi Liu
We present the R package PResiduals for residual analysis using the probability-scale residual. This residual is well defined for a wide variety of outcome types and models, including some settings where other popular residuals are not appl...
Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg [0.03%]
使用R包reReg对可能带有信息终端事件的复发事件进行回归分析建模
Sy Han Chiou,Gongjun Xu,Jun Yan et al.
Sy Han Chiou et al.
Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package reReg offers ...
Application of Equal Local Levels to Improve Q-Q Plot Testing Bands with R Package qqconf [0.03%]
基于R语言qqconf包的等局部水平应用及Q-Q图检验带改进方法研究
Eric Weine,Mary Sara McPeek,Mark Abney
Eric Weine
Quantile-Quantile (Q-Q) plots are often difficult to interpret because it is unclear how large the deviation from the theoretical distribution must be to indicate a lack of fit. Most Q-Q plots could benefit from the addition of meaningful g...
J Kenneth Tay,Balasubramanian Narasimhan,Trevor Hastie
J Kenneth Tay
The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorithm for computing the elastic net regularization path for ordi...
Michael Dumelle,Tom Kincaid,Anthony R Olsen et al.
Michael Dumelle et al.
spsurvey is an R package for design-based statistical inference, with a focus on spatial data. spsurvey provides the generalized random-tessellation stratified (GRTS) algorithm to select spatially balanced samples via the grts() function. T...
Bob Carpenter,Andrew Gelman,Matthew D Hoffman et al.
Bob Carpenter et al.
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides ...
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data [0.03%]
BayesCTDesign：一种使用历史对照数据的贝叶斯试验设计R包
Barry S Eggleston,Joseph G Ibrahim,Becky McNeil et al.
Barry S Eggleston et al.
This article introduces the R (R Core Team 2019) package BayesCTDesign for two-arm randomized Bayesian trial design using historical control data when available, and simple two-arm randomized Bayesian trial design when historical control da...