Most recently updated packages

lcmm — 1.7.9

Extended Mixed Models Using Latent Classes and Latent Processes

robcbi — 1.1-2

Conditionally Unbiased Bounded Influence Estimates

acebayes — 1.5

Optimal Bayesian Experimental Design using the ACE Algorithm

mosum — 1.2.0

Moving Sum Based Procedures for Changes in the Mean

AssetCorr — 1.0.1

Estimating Asset Correlations from Default Data

statnet.common — 4.1.4

Common R Scripts and Utilities Used by the Statnet Project Software

bisoreg — 1.5

Bayesian Isotonic Regression with Bernstein Polynomials

cbinom — 1.2

Continuous Analog of a Binomial Distribution

s20x — 3.1-27

Functions for University of Auckland Course STATS 201/208 Data Analysis

Delaporte — 6.2.0

Statistical Functions for the Delaporte Distribution

mcmcplots — 0.4.3

Create Plots from MCMC Output

hexSticker — 0.4.4

Create Hexagon Sticker in R

fastDummies — 1.2.0

Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables

LEGIT — 1.2.2

Latent Environmental & Genetic InTeraction (LEGIT) Model

gnm — 1.1-0

Generalized Nonlinear Models

BUCSS — 1.0.0

Bias and Uncertainty Corrected Sample Size

shinyhelper — 0.3.0

Easily Add Markdown Help Files to 'shiny' App Elements

RQEntangle — 0.1.1

Quantum Entanglement of Bipartite System

rnn — 0.8.1

Recurrent Neural Network

RcppMeCab — 0.0.1.1

'rcpp' Wrapper for 'mecab' Library

Rsmlx — 1.0.1

R Speaks 'Monolix'

qrng — 0.0-5

(Randomized) Quasi-Random Number Generators

BAMBI — 2.0.0

Bivariate Angular Mixture Models

BDgraph — 2.51

Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

NonCompart — 0.4.3

Noncompartmental Analysis for Pharmacokinetic Data

TSPred — 4.0

Functions for Benchmarking Time Series Prediction

cartogram — 0.1.0

Create Cartograms with R

clickR — 0.4.05

Fix Data and Create Report Tables from Different Objects

echo.find — 1.1.1

Finding Rhythms Using Extended Circadian Harmonic Oscillators (ECHO)

googleAuthR — 0.6.3

Authenticate and Create Google APIs

iilasso — 0.0.2

Independently Interpretable Lasso

mlrMBO — 1.1.2

Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

rAmCharts — 2.1.8

JavaScript Charts Tool

sigmoid — 0.3.0

Sigmoid Functions for Machine Learning

warbleR — 1.1.14

Streamline Bioacoustic Analysis

RCzechia — 1.2.6

Spatial Objects of the Czech Republic

SimilaR — 1.0.2

R Source Code Similarity Evaluation

docopulae — 0.3.5

Optimal Designs for Copula Models

forecast — 8.4

Forecasting Functions for Time Series and Linear Models

googleLanguageR — 0.2.0

Call Google's 'Natural Language' API, 'Cloud Translation' API, 'Cloud Speech' API and 'Cloud Text-to-Speech' API

nlmixr — 0.9.1-3

Nonlinear Mixed Effects Models in Population Pharmacokinetics and Pharmacodynamics

staRdom — 1.0.8

PARAFAC Analysis of EEMs from DOM

tidyxl — 1.0.3

Read Untidy Excel Files

BinQuasi — 0.1-5

Analyzing Replicated ChIP Sequencing Data Using Quasi-Likelihood

CATkit — 3.3.2

Chronomics Analysis Toolkit (CAT): Periodicity Analysis

choroplethr — 3.6.2

Simplify the Creation of Choropleth Maps in R

civis — 1.5.0

R Client for the 'Civis data science API'

graphframes — 0.1.1

Interface for 'GraphFrames'

thinkr — 0.13

Tools for Cleaning Up Messy Files

Gmisc — 1.6.2

Descriptive Statistics, Transition Plots, and More

rEDM — 0.7.1

Applications of Empirical Dynamic Modeling from Time Series

smicd — 1.0.1

Statistical Methods for Interval Censored Data

VarSelLCM — 2.1.2

Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values

hsdar — 0.7.1

Manage, Analyse and Simulate Hyperspectral Data

modifiedmk — 1.1.0

Modified Mann Kendall Trend Tests

ggpol — 0.0.2

Visualizing Social Science Data with 'ggplot2'

mortAAR — 1.0.1

Analysis of Archaeological Mortality Data

rsimsum — 0.3.3

Analysis of Simulation Studies Including Monte Carlo Error

MetaSubtract — 1.41

Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results

womblR — 1.0.3

Spatiotemporal Boundary Detection Model for Areal Unit Data

fluxweb — 0.1.1

Estimate Energy Fluxes in Food Webs

sjmisc — 2.7.3

Data and Variable Transformation Functions

projections — 0.3.0

Project Future Case Incidence

SDLfilter — 1.1.1

Filtering Satellite-Derived Locations

imputeTS — 2.7

Time Series Missing Value Imputation

MortalityLaws — 1.4.0

Parametric Mortality Models, Life Tables and HMD

randomizeBE — 0.3-4

Create a Random List for Crossover Studies

emojifont — 0.5.2

Emoji and Font Awesome in Graphics

vertexenum — 1.0.2

Vertex Enumeration of Polytopes

mice — 3.1.0

Multivariate Imputation by Chained Equations

visualFields — 0.5.4

Statistical Methods for Visual Fields

anipaths — 0.9.6

Animation of Observed Trajectories Using Spline-Based Interpolation

bfw — 0.1.0

Bayesian Framework for Computational Modeling

docxtools — 0.1.3

Tools for R Markdown to Docx Documents

momentuHMM — 1.4.2

Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models

rtweet — 0.6.7

Collecting Twitter Data

ecm — 3.1.0

Build Error Correction Models

future.apply — 1.0.0

Apply Function to Elements in Parallel using Futures

ncar — 0.4.0

Noncompartmental Analysis for Pharmacokinetic Report

convey — 0.2.1

Income Concentration Analysis with Complex Survey Samples

recommenderlab — 0.2-3

Lab for Developing and Testing Recommender Algorithms

arfima — 1.6-7

Fractional ARIMA (and Other Long Memory) Time Series Modeling

smapr — 0.1.2

Acquisition and Processing of NASA Soil Moisture Active-Passive (SMAP) Data

derivmkts — 0.2.3

Functions and R Code to Accompany Derivatives Markets

httptest — 3.1.0

A Test Environment for HTTP Requests

spectrolab — 0.0.6

Class and Methods for Hyperspectral Data

spam — 2.2-0

SPArse Matrix

cstab — 0.2-2

Selection of Number of Clusters via Normalized Clustering Instability

spam64 — 2.2-0

64-Bit Extension of the SPArse Matrix R Package 'spam'

umx — 2.8.0

Structural Equation and Twin Modeling in R

deming — 1.2

Deming, Thiel-Sen and Passing-Bablock Regression

docopulae — 0.3.4

Optimal Designs for Copula Models

mfGARCH — 0.1.4

Mixed-Frequency GARCH Models

rdiversity — 1.2.1

Measurement and Partitioning of Similarity-Sensitive Biodiversity

vtreat — 1.2.0

A Statistically Sound 'data.frame' Processor/Conditioner

careless — 1.1.3

Procedures for Computing Indices of Careless Responding

kidney.epi — 1.0.0

Kidney Functions: Clinical and Epidemiological

M2SMF — 1.0

Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

adwordsR — 0.3.1

Access the 'Google Adwords' API

ubci — 0.0.2

Get Cryptocurrency Related Data by Upbit