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. rcss v1.2
Provides functions for Solving Control Problems with Linear State Dynamics.
2. stormwindmodel v0.1.0
Provides functions to calculate wind speeds for hurricanes and tropical storms in the North American Atlantic basin.
二.机器学习
1. crisp v1.0.0
Implements the convex regression with interpretable partitions (CRISP) method of predicting an outcome variable on the basis of two covariates.
2. BayesS5 v1.22
Implements Bayesian Variable Selection Using Shotgun Stochastic Search with Screening (S5) useful in settings where p >> n.
3. classifierplots v1.3.2
Provides functions to generate a grid of binary classifier and diagnostic plots with a single function call
4. eclust v0.1.0
Provides an algorithm for clustering high-dimensional data that can be affected by an environmental factor.
5. EnsCat v1.1
Implements various clustering methods for categorical data.
6. MAVE v0.1.7
Implements the MAVE (Minimum Average Variance Estimation) method of dimension reduction.
7. mfe v0.1.0
Provides functions to extract meta-features from datasets to support the design of recommendation systems.
8. rsparkling v0.1.0
extends sparklyr with an interface to the H2O Sparkling Water machine learning library.
三.统计类
1. confSAM v0.1
Contains a function that computes estimates and confidence bounds for the false discovery proportion in a multiple testing environment.
2. pdSpecEst v1.0.0
Implements a non-parametric, geometric wavelet method to estimate autocovariance matrix of a time series that preserves positive-definiteness of the estimator.
3. tsdecomp v0.2
Implements ARIMA model-based decompositions for quarterly and monthly time series data.
4. TSeriesMMA v0.1.1
Provides a function to calculate the Hurst surface for a time series. Multiscale, multifractical analysis (MMA) is described in a paper by Gieraltowski et al.
四.工具类
1. awsjavasdk v0.2.0
Provides a boilerplate of classes used to access the Amazon Web Services Java Software Development Kit via package rJava.
2. colr v0.1.900
Provides functions that use Perl regular expressions to select and rename columns in dataframes, lists and numeric types.
3. flifo v0.1.4
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. fst v0.7.2
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. manipulateWidget v0.5.1
Provides helper functions to add controls like sliders, pickers, checkboxes, etc. to interactive charts created with package htmlwidgets.
6. msgtools v0.2.4
Provides utilities for error, warning, and other messages in R packages, including consistency checks across messages, spell-checking, and message translations for localization.
7. padr v0.2.0
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. pbdPRC v0.1-1
Implements light, yet secure remote procedure calls with a unified interface via ssh (OpenSSH) or plink/plink.exe (PuTTY).
9. reprex v0.1.1
Provides a way to send code snippets with rendered output to sites like stackoverflow and github.
10. restfulr v0.0.8
Models a RESTful service as if it were a list.
11. sys v1.1
A replacement for base system2 with consistent behavior across platforms. Supports interruption, background tasks, and full control over STDOUT / STDERR binary or text streams.
12. textclean v0.3.0
Provides tools to clean and process text, such as replacing or removing substrings that are not optimal for analysis.
13. tidyxl v0.2.1
Imports non-tabular data from Excel into R. The vignette shows how.
14. unpivotr v0.1.0
Provides tools for converting data from complex or irregular layouts into a columnar structure.
15. WVPlots v0.2.2
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.
