Trending packages

gap.datasets — 0.0.5

Datasets for 'gap'

multiApply — 2.1.3

Apply Functions to Multiple Multidimensional Arrays or Vectors

tbl2xts — 1.0.4

Convert Tibbles or Data Frames to Xts Easily

shapr — 0.2.0

Prediction Explanation with Dependence-Aware Shapley Values

pwr2 — 1.0

Power and Sample Size Analysis for One-way and Two-way ANOVA Models

Rcgmin — 2022-4.30

Conjugate Gradient Minimization of Nonlinear Functions with Box Constraints

micropan — 2.1

Microbial Pan-Genome Analysis

microseq — 2.1.5

Basic Biological Sequence Handling

rgeoda — 0.0.9

R Library for Spatial Data Analysis

teamr — 0.0.1

Send Formatted Messages, Images and Objects to Microsoft 'Teams'

metadat — 1.2-0

Meta-Analysis Datasets

osmextract — 0.4.0

Download and Import Open Street Map Data Extracts

Rbeast — 0.9.4

Bayesian Change-Point Detection and Time Series Decomposition

gRim — 0.2.9

Graphical Interaction Models

zipcodeR — 0.3.3

Data & Functions for Working with US ZIP Codes

Information — 0.0.9

Data Exploration with Information Theory (Weight-of-Evidence and Information Value)

multilinguer — 0.2.2

Gentle Language Installer for R User

MarketMatching — 1.2.0

Market Matching and Causal Impact Inference

mlflow — 1.25.1

Interface to 'MLflow'

pcalg — 2.7-6

Methods for Graphical Models and Causal Inference

kdensity — 1.1.0

Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

ggm — 2.5

Graphical Markov Models with Mixed Graphs

rmgarch — 1.3-9

Multivariate GARCH Models

openNLPdata — 1.5.3-4

Apache OpenNLP Jars and Basic English Language Models

Bessel — 0.6-0

Computations and Approximations for Bessel Functions

COUNT — 1.3.4

Functions, Data and Code for Count Data

openNLP — 0.2-7

Apache OpenNLP Tools Interface

RH2 — 0.2.4

DBI/RJDBC Interface to H2 Database

NPS — 1.1

Convenience Functions and Tests for Working With the Net Promoter Score (NPS)

RJDBC — 0.2-10

Provides Access to Databases Through the JDBC Interface

imputeTS — 3.2

Time Series Missing Value Imputation

projpred — 2.1.2

Projection Predictive Feature Selection

univariateML — 1.1.1

Maximum Likelihood Estimation for Univariate Densities

biganalytics — 1.1.21

Utilities for 'big.matrix' Objects from Package 'bigmemory'

rkeops — 1.4.2.2

Kernel Operations on GPU or CPU, with Autodiff, without Memory Overflows

pkgsearch — 3.1.0

Search and Query CRAN R Packages

rlemon — 0.2.0

R Access to LEMON Graph Algorithms

pak — 0.3.0

Another Approach to Package Installation

ggeasy — 0.1.3

Easy Access to 'ggplot2' Commands

recommenderlab — 0.2-7

Lab for Developing and Testing Recommender Algorithms

modeltime.ensemble — 1.0.0

Ensemble Algorithms for Time Series Forecasting with Modeltime

pkgdepends — 0.3.1

Package Dependency Resolution and Downloads

venneuler — 1.1-3

Venn and Euler Diagrams

corpus — 0.10.2

Text Corpus Analysis

mondate — 0.10.02

Keep Track of Dates in Terms of Months

qualtRics — 3.1.5

Download 'Qualtrics' Survey Data

missRanger — 2.1.3

Fast Imputation of Missing Values

optrees — 1.0

Optimal Trees in Weighted Graphs

modeltime — 1.2.0

The Tidymodels Extension for Time Series Modeling

gap — 1.2.3-6

Genetic Analysis Package

qdap — 2.4.3

Bridging the Gap Between Qualitative Data and Quantitative Analysis

pkgcache — 2.0.1

Cache 'CRAN'-Like Metadata and R Packages

graphframes — 0.1.2

Interface for 'GraphFrames'

tidylog — 1.0.2

Logging for 'dplyr' and 'tidyr' Functions

ParBayesianOptimization — 1.2.4

Parallel Bayesian Optimization of Hyperparameters

modeltime.resample — 0.2.0

Resampling Tools for Time Series Forecasting

cNORM — 3.0.1

Continuous Norming

arulesSequences — 0.2-25

Mining Frequent Sequences

ggpattern — 0.4.2

'ggplot2' Pattern Geoms

xlsxjars — 0.6.1

Package required POI jars for the xlsx package

WGCNA — 1.71

Weighted Correlation Network Analysis

botor — 0.3.0

'AWS Python SDK' ('boto3') for R

Mcomp — 2.8

Data from the M-Competitions

Rmpfr — 0.8-7

R MPFR - Multiple Precision Floating-Point Reliable

distro — 0.1.0

Linux Distribution Properties

ggtext — 0.1.1

Improved Text Rendering Support for 'ggplot2'

gridtext — 0.1.4

Improved Text Rendering Support for 'Grid' Graphics

spatialreg — 1.2-3

Spatial Regression Analysis

Thermimage — 4.1.3

Thermal Image Analysis

TraMineR — 2.2-3

Trajectory Miner: a Toolbox for Exploring and Rendering Sequences

RcppZiggurat — 0.1.6

'Rcpp' Integration of Different "Ziggurat" Normal RNG Implementations

BTYDplus — 1.2.0

Probabilistic Models for Assessing and Predicting your Customer Base

weights — 1.0.4

Weighting and Weighted Statistics

anesrake — 0.80

ANES Raking Implementation

RcppGSL — 0.3.11

'Rcpp' Integration for 'GNU GSL' Vectors and Matrices

rgdal — 1.5-32

Bindings for the 'Geospatial' Data Abstraction Library

SemiCompRisks — 3.4

Hierarchical Models for Parametric and Semi-Parametric Analyses of Semi-Competing Risks Data

ClusterR — 1.2.6

Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering

mmpf — 0.0.5

Monte-Carlo Methods for Prediction Functions

xlsx — 0.6.5

Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files

gsalib — 2.1

Utility Functions For GATK

forecastHybrid — 5.0.19

Convenient Functions for Ensemble Time Series Forecasts

rJava — 1.0-6

Low-Level R to Java Interface

onehot — 0.1.1

Fast Onehot Encoding for Data.frames

gmp — 0.6-5

Multiple Precision Arithmetic

RMySQL — 0.10.23

Database Interface and 'MySQL' Driver for R

textreuse — 0.1.5

Detect Text Reuse and Document Similarity

UBL — 0.0.7

An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks

datawizard — 0.4.1

Easy Data Wrangling

parsedate — 1.3.0

Recognize and Parse Dates in Various Formats, Including All ISO 8601 Formats

agricolae — 1.3-5

Statistical Procedures for Agricultural Research

googleAnalyticsR — 1.0.1

Google Analytics API into R

sas7bdat — 0.6

sas7bdat Reverse Engineering Documentation

bigmemory — 4.6.1

Manage Massive Matrices with Shared Memory and Memory-Mapped Files

baguette — 0.2.0

Efficient Model Functions for Bagging

leiden — 0.4.2

R Implementation of Leiden Clustering Algorithm

SmartEDA — 0.3.8

Summarize and Explore the Data

BTYD — 2.4.3

Implementing BTYD Models with the Log Sum Exp Patch

Benchmarking — 0.30

Benchmark and Frontier Analysis Using DEA and SFA

JavaGD — 0.6-4

Java Graphics Device