研飞ivySCI (青藤学术）

Journal of Statistical Software

短名	J. Stat. Soft.
Journal Impact	5.48
国际分区	STATISTICS & PROBABILITY(Q1)
期刊索引	SCI Q1中科院 2 区

ISSN	1548-7660
h-index	174
国内分区	计算机科学(2区)计算机科学统计学与概率论(1区)计算机科学计算机跨学科应用(2区)

统计软件杂志 (JSS) 发表开源软件和相应的可重复文章，讨论致力于改进最新技术的软件的设计、实现、文档、应用、评估、比较、维护和分发的各个方面在实证研究的所有领域的统计计算。开源代码和文章在本期刊上共同审查和发表，应该可供统计领域的广大从业人员、教师和研究人员访问。

期刊主页

涉及主题	计算机科学数学统计程序设计语言机器学习人工智能经济计算科学R包计量经济学操作系统物理数据挖掘工程类生物算法哲学医学
出版信息	出版商: University of California at Los Angeles，出版周期: Irregular，期刊类型: journal
基本数据	创刊年份: 1996，原创研究文献占比: 100.00%，自引率:1.90%， Gold OA占比: 92.52%
平均审稿周期	网友分享经验：较慢,6-12周
平均录用比例	网友分享经验：一般

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salmon: A Symbolic Linear Regression Package for Python

2024-1-1

magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes

2024-1-1

openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding

2024-1-1

makemyprior: Intuitive Construction of Joint Priors for Variance Parameters in R

2024-1-1

cpop: Detecting Changes in Piecewise-Linear Signals

2024-1-1

The R Package markets: Estimation Methods for Markets in Equilibrium and Disequilibrium

2024-1-1

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK

2024-1-1

DoubleML: An Object-Oriented Implementation of Double Machine Learning in R

2024-1-1

melt: Multiple Empirical Likelihood Tests in R

2024-1-1

cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data

2024-1-1

funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs

2024-1-1

The R Package tipsae: Tools for Mapping Proportions and Indicators on the Unit Interval

2024-1-1

CRTFASTGEEPWR: A SAS Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs

2024-1-1

Holistic Generalized Linear Models

2024-1-1

bizicount: Bivariate Zero-Inflated Count Copula Regression Using R

2024-1-1

Generalized Plackett-Luce Likelihoods

2024-1-1

fHMM: Hidden Markov Models for Financial Time Series in R

2024-1-1

Emulation and History Matching Using the hmer Package

2024-1-1

An Extendable Python Implementation of Robust Optimization Monte Carlo

2024-1-1

anomaly: Detection of Anomalous Structure in Time Series Data

2024-1-1

bayesnec: An R Package for Concentration-Response Modeling and Estimation of Toxicity Metrics

2024-1-1

gcimpute: A Package for Missing Data Imputation

2024-1-1

Modeling Nonstationary Financial Volatility with the R Package tvgarch

2024-1-1

PUMP: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments

2024-1-1

scikit-fda: A Python Package for Functional Data Analysis

2024-1-1

Extremes.jl: Extreme Value Analysis in Julia

2024-1-1

Weighted scoringRules: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts

2024-1-1

fairadapt: Causal Reasoning for Fair Data Preprocessing

2024-1-1

sparsegl: An R Package for Estimating Sparse Group Lasso

2024-1-1

Modeling Population Growth in R with the biogrowth Package

2023-1-1

carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials

2023-1-1

cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

2023-1-1

hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process

2023-1-1

bootUR: An R Package for Bootstrap Unit Root Tests

2023-1-1

jumpdiff: A Python Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets

2023-1-1

Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the bayesTFR R Package

2023-1-1

Broken Stick Model for Irregular Longitudinal Data

2023-1-1

Additive Bayesian Network Modeling with the R Package abn

2023-1-1

logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations

2023-1-1

ARCHModels.jl: Estimating ARCH Models in Julia

2023-1-1

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

2023-1-1

REndo: Internal Instrumental Variables to Address Endogeneity

2023-1-1

netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods

2023-1-1

drda: An R Package for Dose-Response Data Analysis Using Logistic Functions

2023-1-1

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

2023-1-1

varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models

2023-1-1

deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

2023-1-1

MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso

2023-1-1

ergm 4: New Features for Analyzing Exponential-Family Random Graph Models

2023-1-1

intRinsic: An R Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset

2023-1-1

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最新文章

<b>salmon</b>: A Symbolic Linear Regression Package for <i>Python</i>

<b>magi</b>: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes

<b>openTSNE</b>: A Modular <i>Python</i> Library for t-SNE Dimensionality Reduction and Embedding

<b>makemyprior</b>: Intuitive Construction of Joint Priors for Variance Parameters in <i>R</i>

<b>cpop</b>: Detecting Changes in Piecewise-Linear Signals

The <i>R</i> Package <b>markets</b>: Estimation Methods for Markets in Equilibrium and Disequilibrium

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using <b>FRK</b>

<b>DoubleML</b>: An Object-Oriented Implementation of Double Machine Learning in <i>R</i>

<b>melt</b>: Multiple Empirical Likelihood Tests in <i>R</i>

<b>cubble</b>: An <i>R</i> Package for Organizing and Wrangling Multivariate Spatio-Temporal Data

<b>funGp</b>: An <i>R</i> Package for Gaussian Process Regression with Scalar and Functional Inputs

The <i>R</i> Package <b>tipsae</b>: Tools for Mapping Proportions and Indicators on the Unit Interval

<b>CRTFASTGEEPWR</b>: A <i>SAS</i> Macro for Power of Generalized Estimating Equations Analysis of Multi-Period Cluster Randomized Trials with Application to Stepped Wedge Designs

Holistic Generalized Linear Models

<b>bizicount</b>: Bivariate Zero-Inflated Count Copula Regression Using <i>R</i>

Generalized Plackett-Luce Likelihoods

<b>fHMM</b>: Hidden Markov Models for Financial Time Series in <i>R</i>

Emulation and History Matching Using the <b>hmer</b> Package

An Extendable <i>Python</i> Implementation of Robust Optimization Monte Carlo

<b>anomaly</b>: Detection of Anomalous Structure in Time Series Data

<b>bayesnec</b>: An <i>R</i> Package for Concentration-Response Modeling and Estimation of Toxicity Metrics

<b>gcimpute</b>: A Package for Missing Data Imputation

Modeling Nonstationary Financial Volatility with the <i>R</i> Package <b>tvgarch</b>

<b>PUMP</b>: Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments

<b>scikit-fda</b>: A <i>Python</i> Package for Functional Data Analysis

<b>Extremes.jl</b>: Extreme Value Analysis in <i>Julia</i>

Weighted <b>scoringRules</b>: Emphasizing Particular Outcomes When Evaluating Probabilistic Forecasts

<b>fairadapt</b>: Causal Reasoning for Fair Data Preprocessing

<b>sparsegl</b>: An <i>R</i> Package for Estimating Sparse Group Lasso

Modeling Population Growth in <i>R</i> with the <b>biogrowth</b> Package

<b>carat</b>: An <i>R</i> Package for Covariate-Adaptive Randomization in Clinical Trials

<b>cglasso</b>: An <i>R</i> Package for Conditional Graphical Lasso Inference with Censored and Missing Values

<b>hdpGLM</b>: An <i>R</i> Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process

<b>bootUR</b>: An <i>R</i> Package for Bootstrap Unit Root Tests

<b>jumpdiff</b>: A <i>Python</i> Library for Statistical Inference of Jump-Diffusion Processes in Observational or Experimental Data Sets

Probabilistic Estimation and Projection of the Annual Total Fertility Rate Accounting for Past Uncertainty: A Major Update of the <b>bayesTFR</b> <i>R</i> Package

Broken Stick Model for Irregular Longitudinal Data

Additive Bayesian Network Modeling with the <i>R</i> Package <b>abn</b>

<b>logitr</b>: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness-to-Pay Space Utility Parameterizations

<b>ARCHModels.jl</b>: Estimating ARCH Models in <i>Julia</i>

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

<b>REndo</b>: Internal Instrumental Variables to Address Endogeneity

<b>netmeta</b>: An <i>R</i> Package for Network Meta-Analysis Using Frequentist Methods

<b>drda</b>: An <i>R</i> Package for Dose-Response Data Analysis Using Logistic Functions

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using <i>R</i> Package <b>reReg</b>

<b>varTestnlme</b>: An <i>R</i> Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models

<b>deepregression</b>: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

<b>MLGL</b>: An <i>R</i> Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso

<b>ergm</b> 4: New Features for Analyzing Exponential-Family Random Graph Models

<b>intRinsic</b>: An <i>R</i> Package for Model-Based Estimation of the Intrinsic Dimension of a Dataset

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