之前列举了部分数据相关的R包，本文主要选摘了其他一些比较优秀的29个R包，主要类别包括综合类、机器学习、统计类和工具类，希望有助于大家的学习，时刻关注R语言的最新进展和成果！
一.综合类
1. rcssv1.2
Provides functions for Solving Control Problems with Linear State Dynamics.
2. stormwindmodelv0.1.0
Provides functions to calculate wind speeds for hurricanes and tropical storms in the North American Atlantic basin.
二.机器学习
1. crispv1.0.0
Implements the convex regression with interpretable partitions (CRISP) method of predicting an outcome variable on the basis of two covariates.
2. BayesS5v1.22
Implements Bayesian Variable Selection Using Shotgun Stochastic Search with Screening (S5) useful in settings where p >> n.
3. classifierplotsv1.3.2
Provides functions to generate a grid of binary classifier and diagnostic plots with a single function call
4. eclustv0.1.0
Provides an algorithm for clustering high-dimensional data that can be affected by an environmental factor.
5. EnsCatv1.1
Implements various clustering methods for categorical data.
6. MAVEv0.1.7
Implements the MAVE (Minimum Average Variance Estimation) method of dimension reduction.
7. mfev0.1.0
Provides functions to extract meta-features from datasets to support the design of recommendation systems.
8. rsparklingv0.1.0
extends sparklyrwith an interface to the H2O Sparkling Watermachine learning library.
三.统计类
1. confSAMv0.1
Contains a function that computes estimates and confidence bounds for the false discovery proportion in a multiple testing environment.
2. pdSpecEstv1.0.0
Implements a non-parametric, geometric wavelet method to estimate autocovariance matrix of a time series that preserves positive-definiteness of the estimator.
3. tsdecompv0.2
Implements ARIMA model-based decompositions for quarterly and monthly time series data.
4. TSeriesMMAv0.1.1
Provides a function to calculate the Hurst surface for a time series. Multiscale, multifractical analysis (MMA) is described in a paperby Gieraltowski et al.
四.工具类
1. awsjavasdkv0.2.0
Provides a boilerplate of classes used to access the Amazon Web Services Java Software Development Kit via package rJava.
2. colrv0.1.900
Provides functions that use Perl regular expressions to select and rename columns in dataframes, lists and numeric types.
3. flifov0.1.4
Provides functions to create and manipulate FIFO (First In First Out), LIFO (Last In First Out), and NINO (Not In or Never Out) stacks in R.
4. fstv0.7.2
Provides functions to read and write data frames at high speed, and compress data with type-optimized algorithms that allow random access of stored data frames.
5. manipulateWidgetv0.5.1
Provides helper functions to add controls like sliders, pickers, checkboxes, etc. to interactive charts created with package htmlwidgets.
6. msgtoolsv0.2.4
Provides utilities for error, warning, and other messages in R packages, including consistency checks across messages, spell-checking, and message translations for localization.
7. padrv0.2.0
Provides functions to transform datetime data into a format ready for analysis, including aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).
8. pbdPRCv0.1-1
Implements light, yet secure remote procedure calls with a unified interface via ssh (OpenSSH) or plink/plink.exe (PuTTY).
9. reprexv0.1.1
Provides a way to send code snippets with rendered output to sites like stackoverflowand github.
10. restfulrv0.0.8
Models a RESTful service as if it were a list.
11. sysv1.1
A replacement for base system2with consistent behavior across platforms. Supports interruption, background tasks, and full control over STDOUT / STDERR binary or text streams.
12. textcleanv0.3.0
Provides tools to clean and process text, such as replacing or removing substrings that are not optimal for analysis.
13. tidyxlv0.2.1
Imports non-tabular data from Excel into R. The vignetteshows how.
14. unpivotrv0.1.0
Provides tools for converting data from complex or irregular layouts into a columnar structure.
15. WVPlotsv0.2.2
Provides examples of ggplot plots that can be generated from a standard calling interface. Here is the explanation of the concept, and here are some nice examples.