更新日期: 2024.10.16 - 45個套件類別
CRAN Task View:
https://cran.csie.ntu.edu.tw/web/views/
CRAN (Taiwan):
選取 CRAN 網站左側 [Packages] , 套件區分成以下類別, 中文說明如下:
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1;ActuarialScience;Actuarial Science;精算學
2;Agriculture;Agricultural Science;農業學
3;Bayesian;Bayesian Inference;貝氏統計
4;CausalInference;Causal Inference;因果推論
5;ChemPhys;Chemometrics and Computational Physics;計量化學與計算物理
6;ClinicalTrials;Clinical Trial Design Monitoring and Analysis;臨床試驗設計、監測和分析
7;Cluster;Cluster Analysis & Finite Mixture Models;群集分析與有限混合模型
8;Databases;Databases with R;R與資料庫連接
9;DifferentialEquations;Differential Equations;微分方程
10;Distributions;Probability Distributions;機率分配
11;DynamicVisualizations;Dynamic Visualizations and Interactive Graphics;動態視覺化與互動式繪圖
12;Econometrics;Econometrics;計量經濟
13;Environmetrics;Analysis of Ecological and Environmental Data;生態與環境資料分析
14;Epidemiology;Epidemiology;流行病學
15;ExperimentalDesign;Design of Experiments (DoE) & Analysis of Experimental Data;實驗設計
16;ExtremeValue;Extreme Value Analysis;極值分析
17;Finance;Empirical Finance;實證財務
18;FunctionalData;Functional Data Analysis;函數資料分析
19;GraphicalModels;Graphical Models;繪圖模型
20;HighPerformanceComputing;High-Performance and Parallel Computing with R;高效能與平行運算
21;Hydrology;Hydrological Data and Modeling;水文資料與建模
22;MachineLearning;Machine Learning & Statistical Learning;機器學習與統計學習
23;MedicalImaging;Medical Image Analysis;醫學影像分析
24;MetaAnalysis;Meta-Analysis;整合分析
25;MissingData;Missing Data;遺漏值
26;MixedModels;Mixed Multilevel and Hierarchical Models in R;混合、多層級與多階層模型
27;ModelDeployment;Model Deployment with R;R模型部署
28;NaturalLanguageProcessing;Natural Language Processing;自然語言處理
29;NumericalMathematics;Numerical Mathematics;數值數學
30;OfficialStatistics;Official Statistics & Survey Statistics;官方統計與調查方法
31;Omics;Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics;組學等
32;Optimization;Optimization and Mathematical Programming;最佳化與數學規劃
33;Pharmacokinetics;Analysis of Pharmacokinetic Data;藥物動力學資料分析
34;Phylogenetics;Phylogenetics;譜系學
35;Psychometrics;Psychometric Models and Methods;心理模型與方法
36;ReproducibleResearch;Reproducible Research;可重製研究
37;Robust;Robust Statistical Methods;穩健統計方法
38;Spatial;Analysis of Spatial Data;空間資料分析
39;SpatioTemporal;Handling and Analyzing Spatio-Temporal Data;時空資料處理與分析
40;SportsAnalytics;Sports Analytics;運動分析
41;Survival;Survival Analysis;存活分析
42;TeachingStatistics;Teaching Statistics;統計教學
43;TimeSeries;Time Series Analysis;時間序列分析
44;Tracking;Processing and Analysis of Tracking Data;追蹤資料的處理與分析
45;WebTechnologies;Web Technologies and Services;網頁技術與服務
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說明:
# 2024.10.16 - 45個套件類別
新增 DynamicVisualizations 動態視覺化與互動式繪圖, 包括以下主題:
+ General purpose
+ Animation
+ Multivariate
+ Temporal
+ Maps
+ Networks
+ Miscellaneous
# 2023.9.4 - 44個套件類別
新增 ActuarialScience 精算學, 包括以下主題:
+ Life insurance
+ Non-life insurance
+ Reinsurance and extreme events
+ Risk measures
+ Miscellaneous
+ Bibliography
# 2023.4.11 - 43個套件類別
新增 Omics 組學等, 包括以下主題:
+ Annotation and databases
+ Genomics
+ Transcriptomics
+ Proteomics
+ Metabolomics
+ Other omics
+ Multiple omics
+ Specific tasks
+ Specific application fields
# 2022.11.22 - 42個套件類別
新增 Phylogenetics 譜系學, 包括以下主題:
+ Core packages
+ Tasks
+ Getting trees into R
+ Tree manipulation
+ Tree visualization
+ Tree comparison ...
# 2022.10.25 - 41個套件類別
新增 MixedModels(Mixed, Multilevel, and Hierarchical Models in R) 混合模型, 包括以下主題:
1.Linear mixed models (LMM)
+ Frequentist
+ Bayesian
+ Generalized linear mixed models (GLMMs)
2.Nonlinear mixed models
3.Hierarchical modeling frameworks
+ Model diagnostics and summary statistics
+ Model diagnostics
+ Summary statistics
+ Derivatives ...
# 2022.9.29 - 40個套件類別
新增 Agriculture (Agricultural Science) 農業科學, 包括以下主題:
1. General applications
+ Agricultural & land use databases
+ Agricultural data sets
+ General analytical packages
2. Discipline-specific packages
+ Agricultural economics
+ Agrometeorology
+ Agronomic trials
...
# 2022.07.13 - 39個類別套件
新增 CausalInference (Causal Inference) 因果推論, 包括以下相關主題:
- Methods for randomized controlled trial (RCT) and other experimental data
- Average treatment effect estimation and other univariate treatment effect estimates
- Heterogeneous treatment effect estimation
- Policy learning and dynamic treatment regimes
- Structural equation models, do-calculus causal discovery
- Specific types of data
- Specific application fields
# 2022.06.12 - 38個類別套件
新增 Epidemiology 流行病學, 包括以下相關主題:
R 漸漸成為流行病學的標準,提供從研究設計到流行病學資料探索、建模、預測和模擬的廣泛工具。主要包括以下5大類別:
- Data visualization 資料視覺化
- Infectious disease modeling 傳染病建模
- Environmental epidemiology 環境流行病學
- Helpers 實用工具
- Data packages 資料套件, 包括 COVID-19
# 2022.05.26 - 37個類別套件
新增 SportsAnalytics, Sports Analytics, 運動分析, 包括以下相關功能:
- General 一般色彩設定
- American Football 美式足球
- Association Football 英式足球
- Australian Rules Football 澳式足球
- Baseball 棒球
- Basketball 籃球
- Chess 西洋棋
# 2022.04.8 - 36個類別套件
刪除 Genetics, Statistical Genetics, 遺傳統計
刪除 Phylogenetics, Phylogenetics, Especially Comparative Methods, 系統演化, 比較性方法
# 2022.03.13 - 38個類別套件
刪除 Multivariate, Multivariate Statistics, 多變量統計
刪除 SocialSciences, Statistics for the Social Sciences, 社會科學統計
# 2022.01.26 - 40個類別套件
更名 Graphics 為 GraphicalModels
更名 Graphics 為 GraphicalModels
刪除 gR 類別套件
# 2020.03.1 - 41個類別套件
新增 Tracking 套件
# 2019.3.19 - 40個類別套件
新增 TeachingStatistics 套件, 主要為統計教學而不是R教學, 包括以下三大類別:
1. Teaching 統計教學
2. Examination 測驗 --> 可以自我練習統計知識 ^_^
3. Packages associated with Statistics books 統計書籍套件
# 2019.1.14 - 39個類別套件
新增 Hydrology 套件, 包括水文,氣象資料來源,分析,建模等六大應用:
1. Data Retrieval
3. Other
4. Spatial data processing
5. Modeling
6. Statistical modeling
# 2018.11.11 - 38個類別套件
新增 Databases套件,包括以下三大應用:
1. Relational Databases
2. Non-Relational Databases (NoSQL)
3. Databases Tools
# 2018.10.27 - 37個類別套件
新增 MissingData套件,包括以下七大應用:
1. Exploration of missing data
2. Likelihood based approaches
3. Single imputation
4. Multiple imputation
5. Weighting methods
6. Specific types of data
7. Specific application fields
# 2018.4.9 - 36個類別套件
新增 ModelDeployment 套件, 包括以下二大模型佈署:
1. Deployment through Different Types of Artifacts
2. Deployment through Cloud/Server
新增 Tracking 套件
# 2019.3.19 - 40個類別套件
新增 TeachingStatistics 套件, 主要為統計教學而不是R教學, 包括以下三大類別:
1. Teaching 統計教學
2. Examination 測驗 --> 可以自我練習統計知識 ^_^
3. Packages associated with Statistics books 統計書籍套件
# 2019.1.14 - 39個類別套件
新增 Hydrology 套件, 包括水文,氣象資料來源,分析,建模等六大應用:
1. Data Retrieval
- Hydrological data sources
- Meteorological data
- Data tidying
- Hydrograph analysis
- Meteorology
3. Other
4. Spatial data processing
5. Modeling
6. Statistical modeling
# 2018.11.11 - 38個類別套件
新增 Databases套件,包括以下三大應用:
1. Relational Databases
2. Non-Relational Databases (NoSQL)
3. Databases Tools
# 2018.10.27 - 37個類別套件
新增 MissingData套件,包括以下七大應用:
1. Exploration of missing data
2. Likelihood based approaches
3. Single imputation
4. Multiple imputation
5. Weighting methods
6. Specific types of data
7. Specific application fields
# 2018.4.9 - 36個類別套件
新增 ModelDeployment 套件, 包括以下二大模型佈署:
1. Deployment through Different Types of Artifacts
2. Deployment through Cloud/Server
# 2017.5.7 - 35個類別套件
新增 FunctionalData 函數資料, 提供極值的估計與建模等, 功能包括:
General functional data analysis 廣義函數資料分析
Regression and classification for functional data 迴歸與分類函數資料
Clustering functional data 集群函數資料
Registering and aligning functional data
Time series of functional data 時間序列函數資料
Other 其他函數資料
# 2017.2.15 - 34個類別套件
新增 ExtremeValue 極值, 提供極值的估計與建模等, 功能包括:
Univariate Extreme Value Theory 單一變數極值理論
Bivariate Extreme Value Theory 雙變數極值理論
Multivariate Extreme Value Theory 多變數極值理論
Classical graphics 經典繪圖
# 2016.11.1 - 33個類別套件
General functional data analysis 廣義函數資料分析
Regression and classification for functional data 迴歸與分類函數資料
Clustering functional data 集群函數資料
Registering and aligning functional data
Time series of functional data 時間序列函數資料
Other 其他函數資料
# 2017.2.15 - 34個類別套件
新增 ExtremeValue 極值, 提供極值的估計與建模等, 功能包括:
Univariate Extreme Value Theory 單一變數極值理論
Bivariate Extreme Value Theory 雙變數極值理論
Multivariate Extreme Value Theory 多變數極值理論
Classical graphics 經典繪圖
# 2016.11.1 - 33個類別套件
新增 NumericalMathematics 數值數學, 功能包括:
數值型線性代數與矩陣運算
多項式求根
微分與積分
內差法與近似法
計算根值
其他程式介面(MATLAB, Octave, and Python)
# 2013.10.8 - 32個類別套件
R-3.0.2 - 區分成32個類別套件
# 2020.4.29 - 30個基礎套件
# 本篇記錄套件安裝結果, R-4.0.0 預設安裝完成的套件有30個, 包括以下套件:
1. base
2. boot
3. class
4. cluster
5. codetools
6. compiler
7. datasets
8. foreign
9. graphics
10. grDevices
11. grid
12. KernSmooth
13. lattice
14. MASS
15. Matrix
16. methods
17. mgcv
18. nlme
19. nnet
20. parallel
21. rpart
22. spatial
23. splines
24. stats
25. stats4
26. survival
27. tcltk
28. tools
29. translations (# 2021.8.19 Mac 無此套件, 預設Mac 有29個套件
30. utils
# 2020.5.24
translations 套件 - Translating R Messages, R <= 2.15.3
https://developer.r-project.org/Translations.html
# 2020.5.24
# 預設套件安裝目錄
.Library
# Windows -
"C:/PROGRA~1/R/R-40~1.0/library"
# macOS 10.15 Catalina -
"/Library/Frameworks/R.framework/Resources/library"
# 套件安裝目錄
.libPaths()
# Windows -
"C:/Users/rwepa/Documents/R/win-library/4.0" "C:/Program Files/R/R-4.0.0/library"
# macOS 10.15 Catalina -
"/Library/Frameworks/R.framework/Versions/4.0/Resources/library"
# 2013.10.8 - 32個類別套件
R-3.0.2 - 區分成32個類別套件
# 2020.4.29 - 30個基礎套件
# 本篇記錄套件安裝結果, R-4.0.0 預設安裝完成的套件有30個, 包括以下套件:
1. base
2. boot
3. class
4. cluster
5. codetools
6. compiler
7. datasets
8. foreign
9. graphics
10. grDevices
11. grid
12. KernSmooth
13. lattice
14. MASS
15. Matrix
16. methods
17. mgcv
18. nlme
19. nnet
20. parallel
21. rpart
22. spatial
23. splines
24. stats
25. stats4
26. survival
27. tcltk
28. tools
29. translations (# 2021.8.19 Mac 無此套件, 預設Mac 有29個套件
30. utils
# 2020.5.24
translations 套件 - Translating R Messages, R <= 2.15.3
https://developer.r-project.org/Translations.html
# 2020.5.24
# 預設套件安裝目錄
.Library
# Windows -
"C:/PROGRA~1/R/R-40~1.0/library"
# macOS 10.15 Catalina -
"/Library/Frameworks/R.framework/Resources/library"
# Ubuntu 18.04.4LTS -
"/usr/lib/R/library"
# 套件安裝目錄
.libPaths()
# Windows -
"C:/Users/rwepa/Documents/R/win-library/4.0" "C:/Program Files/R/R-4.0.0/library"
# macOS 10.15 Catalina -
"/Library/Frameworks/R.framework/Versions/4.0/Resources/library"
# ubuntu 18.04.4LTS -
"/home/rwepa/R/x86_64-pc-linux-gnu-library/4.0"
"/usr/local/lib/R/site-library"
"/usr/lib/R/site-library"
"/usr/lib/R/library"