：感叹号：这是CRAN R软件包存储库的只读镜像。sfcentral—空间中心和分散统计。主页：https:gavg712.gitlab.io sfcentral，https:gitlab.com gavg712 sfcentral报告此软件包的错误：https:gitalab.com gavg71 2 sfcentral-问题
:exclamation: This is a read-only mirror of the CRAN R package repository. sfcentral — Spatial Centrality and Dispersion Statistics. Homepage: https: gavg712.gitlab.io sfcentral , https: gitlab.com gavg712 sfcentral Report bugs for this package: https: gitlab.com gavg712 sfcentral - issues (2024-03-14, R, 0KB, 下载0次)
该R项目使用统计技术（如中心趋势、离散度、假设检验和正态性检验的度量）分析数据，以比较两组结果
This R project analyzes data using statistical techniques like measures of central tendency, dispersion, hypothesis testing, and normality testing to compare two sets of results (2024-02-29, R, 0KB, 下载0次)
该存储库是与本课程相关的应用计量经济学任务的中心。利用R Studio和Visual Studio代码，回购合并了Wooldridge和Stock Watson的见解，用缩写词（JW和SW）组织文件，以实现高效协作。
This repository serves as a hub for applied econometrics tasks related to the course. Leveraging R Studio and Visual Studio Code, The repo merges insights from Wooldridge and Stock Watson, organizing files with acronyms (JW and SW) for efficient collaboration. (2024-01-26, R, 0KB, 下载0次)
Conteúdo de Econometria I经济计量中心
Conteúdo de Econometria I (2023-12-31, R, 0KB, 下载0次)
RandomBoost是我为硕士论文开发的一种算法。中心思想是，随机Boost建立在梯度增强Tr...
Random Boost is an algorithm I have developed for my master s thesis. The central idea is that Random Boost builds on Gradient Boosted Trees, but adds a new random component to the boosting procedure concerning the depth of a tree. More specifically, at each iteration, a random number between 1 and some upper limit is drawn that determines the (2018-04-25, R, 0KB, 下载0次)
基于中心子图计数执行网络数据的统计分析，
Perform statistical analysis of network data based on centred subgraph counts, (2023-09-12, R, 0KB, 下载0次)
最近在达勒姆，北卡罗来纳州轻罪定罪的统计分析。为杜克大学法律威尔逊中心创建的报告...
A statistical analysis of recent misdemeanor convictions in Durham, NC. Report created for Duke Law Wilson Center for Science and Justice. (2020-12-09, R, 0KB, 下载0次)
基诺湾中心2019春季
Kino Bay Center 2019 Spring (2020-03-01, R, 38KB, 下载0次)
“以研究人员为中心的统计学设计：为什么贝叶斯统计学更适合文化和增长...
Data and code for "Researcher-Centered Design of Statistics: Why Bayesian Statistics Better Fit the Culture and Incentives of HCI" (CHI 2016) (2016-10-05, R, 40476KB, 下载0次)
......、重大新闻事件，如非货币化等。贝叶斯模型、最大熵模型和隐马尔可夫模型...
Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and (2018-07-30, R, 5KB, 下载0次)