Most recently updated packages

Rtwalk — 2.0.0

An MCMC Sampler Using the t-Walk Algorithm

blindspiker — 0.2.0

Laboratory Blind Spike Sample Analyses

bootStepAIC — 1.4-0

Bootstrap stepAIC

BioGSP — 1.0.0

Biological Graph Signal Processing for Spatial Data Analysis

fluxfixer — 1.0.0

Advanced Framework for Sap Flow Data Post-Process

PxWebApiData — 1.9.0

PX-Web Data by API

rotulador — 1.0.0

Useful Functions for Programming and Generating Documents

gtfs2gps — 2.1-4

Converting Transport Data from GTFS Format to GPS-Like Records

rgl — 1.3.34

3D Visualization Using OpenGL

admiralmetabolic — 0.3.0

Metabolism Extension Package for ADaM in 'R' Asset Library

Rserve — 1.8-17

Versatile R Server

didec — 1.1.0

Directed Dependence Coefficient

rgeedim — 0.4.0

Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim'

INLAtools — 0.0.8

Functionalities for the 'INLA' Package

base64enc — 0.1-6

Tools for 'base64' Encoding

clubSandwich — 0.6.2

Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections

dapper — 1.1.0

Data Augmentation for Private Posterior Estimation

globals — 0.19.0

Identify Global Objects in R Expressions

irace — 4.4.0

Iterated Racing for Automatic Algorithm Configuration

markovchain — 0.10.3

Easy Handling Discrete Time Markov Chains

randomizr — 1.0.1

Easy-to-Use Tools for Common Forms of Random Assignment and Sampling

reformulas — 0.4.4

Machinery for Processing Random Effect Formulas

srvyr — 1.3.1

'dplyr'-Like Syntax for Summary Statistics of Survey Data

sylly — 0.1-7

Hyphenation and Syllable Counting for Text Analysis

yulab.utils — 0.2.4

Supporting Functions for Packages Maintained by 'YuLab-SMU'

btml — 0.2.0

Bayesian Treed Machine Learning for Personalized Prediction

tteICE — 1.1.0

Treatment Effect Estimation for Time-to-Event Data with Intercurrent Events

insetplot — 1.4.0

Inset Plots for Spatial Data Visualization

MetaCycle — 1.2.1

Evaluate Periodicity in Large Scale Data

enrichit — 0.1.1

'C++' Implementations of Functional Enrichment Analysis

colorplane — 0.6.0

Basic S4 Classes and Methods for Mapping Between Numeric Values and Colors

eatRep — 0.15.3

Educational Assessment Tools for Replication Methods

ggquickeda — 0.3.3

Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables

aamatch — 0.4.5

Artless Automatic or Artful Multivariate Matching for Observational Studies

nestedLogit — 0.3.4

Nested Dichotomy Logistic Regression Models

binomCI — 1.3

Confidence Intervals for a Binomial Proportion

vald.extractor — 0.1.1

Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis

kkmeans — 0.1.3

Fast Implementations of Kernel K-Means

ssimparser — 0.1.2

Standard Schedules Information Parser

pedtools — 2.10.0

Creating and Working with Pedigrees and Marker Data

pam — 2.0.0

Fast and Efficient Processing of PAM Data

spEDM — 1.10

Spatial Empirical Dynamic Modeling

ontologySimilarity — 2.9

Calculating Ontological Similarities

BetterReg — 0.3.0

Better Statistics for OLS and Binomial Logistic Regression

bvhar — 2.4.0

Bayesian Vector Heterogeneous Autoregressive Modeling

comphy — 1.0.5

Functions Used in the Book "Computational Physics with R"

date4ts — 0.1.1

Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates

adsasi — 0.9.0.1

Adaptive Sample Size Simulator

groupedHyperframe — 0.3.4

Grouped Hyper Data Frame

groupedHyperframe.random — 0.2.2

Simulated Grouped Hyper Data Frame

maxEff — 0.2.2

Additional Predictor with Maximum Effect Size

SVG — 1.0.0

Spatially Variable Genes Detection Methods for Spatial Transcriptomics

blockstrap — 1.0.0

Sample Dataframes by a Group

caretForecast — 0.1.3

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

nanoarrow — 0.7.0-3

Interface to the 'nanoarrow' 'C' Library

public.ctn0094data — 1.1.0

De-Identified Data from CTN-0094

spatstat — 3.5-1

Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests

ctmva — 1.6.0

Continuous-Time Multivariate Analysis

strand — 0.2.3

A Framework for Investment Strategy Simulation

gerda — 0.5.0

German Election Database (GERDA)

romic — 1.3.3

R for High-Dimensional Molecular Data

automerge — 0.2.0

R Bindings for 'Automerge' 'CRDT' Library

contactsurveys — 0.1.0

Download Contact Surveys for Use in Infectious Disease Modelling

ALDEx3 — 1.0.0

Linear Models for Sequence Count Data

cardargus — 0.2.0

Generate SVG Information Cards with Embedded Fonts and Badges

kkmeans — 0.1.2

Fast Implementations of Kernel K-Means

pixr — 0.1.0

Access Brazilian Central Bank 'PIX' Open Data 'API'

pmlsp — 1.0.1

Partial Maximum Likelihood Estimation of Spatial Probit Models

SafeMapper — 1.0.0

Fault-Tolerant Functional Programming with Automatic Checkpointing

fasster — 0.2.0

Fast Additive Switching of Seasonality, Trend, and Exogenous Regressors

llmflow — 3.0.2

Reasoning and Acting Workflow for Automated Data Analysis

llmhelper — 1.0.0

Unified Interface for Large Language Model Interactions

sameplot — 0.1.0

Consistent Plot Rendering and Saving Across Interactive Sessions and Reports

aae.pop — 0.2.0

Flexible Population Dynamics Simulations

kindling — 0.1.0

Higher-Level Interface of 'torch' Package to Auto-Train Neural Networks

mmap — 0.6-24

Map Pages of Memory

mapbayr — 0.10.2

MAP-Bayesian Estimation of PK Parameters

stabs — 0.7-1

Stability Selection with Error Control

tabnet — 0.8.0

Fit 'TabNet' Models for Classification and Regression

ktsolve — 1.4

Configurable Function for Solving Families of Nonlinear Equations

neatR — 0.3.0

Neat Data for Presentation

ggcompare — 0.0.6

Mean Comparison in 'ggplot2'

mlr3torch — 0.3.3

Deep Learning with 'mlr3'

spatstat.linnet — 3.4-1

Linear Networks Functionality of the 'spatstat' Family

seqmagick — 0.1.8

Sequence Manipulation Utilities

GPvecchia — 0.1.8

Scalable Gaussian-Process Approximations

LearnBayes — 2.15.2

Functions for Learning Bayesian Inference

RMark — 3.0.7

R Code for Mark Analysis

lefko3 — 6.7.1

Historical and Ahistorical Population Projection Matrix Analysis

modeltime — 1.3.5

The Tidymodels Extension for Time Series Modeling

runner — 0.4.6

Running Operations for Vectors

RSTr — 1.1.4

Gibbs Samplers for Discrete Bayesian Spatiotemporal Models

PHYLOGR — 1.0.12

Functions for Phylogenetically Based Statistical Analyses

varSelRF — 0.7-9

Variable Selection using Random Forests

StreamCatTools — 0.10.0

'StreamCatTools'

amt — 0.3.1.0

Animal Movement Tools

gek — 1.2.0

Gradient-Enhanced Kriging

rlppinv — 0.2.0

Linear Programming via Regularized Least Squares

ffm — 0.1.2

Download Official Spatial Data from Germany

r311 — 0.4.4

Interface to the 'open311' Standard