Most recently updated packages

mathml — 1.5

Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax'

cutpointr — 1.2.1

Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks

MolgenisArmadillo — 2.9.1

Armadillo Client for the Armadillo Service

autoslider.core — 0.2.5

Slide Automation for Tables, Listings and Figures

graphicalExtremes — 0.3.4

Statistical Methodology for Graphical Extreme Value Models

survivoR — 2.3.6

Data from all Seasons of Survivor (US) TV Series in Tidy Format

ProxReg — 1.1.1

Linear Models for Prediction and Classification using Proximal Operators

rvinecopulib — 0.7.3.1.0

High Performance Algorithms for Vine Copula Modeling

deaR — 1.5

Conventional and Fuzzy Data Envelopment Analysis

eyeris — 1.2.1

Flexible, Extensible, & Reproducible Pupillometry Preprocessing

rnmamod — 0.5.0

Bayesian Network Meta-Analysis with Missing Participants

CoDaLoMic — 0.1.1

Compositional Models to Longitudinal Microbiome Data

ggeffects — 2.3.0

Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

mxcc — 0.0.3

Maxwell Control Charts

TrialEmulation — 0.0.4.5

Causal Analysis of Observational Time-to-Event Data

rice — 1.2.0

Radiocarbon Equations

sjstats — 0.19.1

Collection of Convenient Functions for Common Statistical Computations

BayesMallows — 2.2.4

Bayesian Preference Learning with the Mallows Rank Model

secr — 5.2.4

Spatially Explicit Capture-Recapture

FARS — 0.4.0

Factor-Augmented Regression Scenarios

Bchron — 4.7.7

Age-Depth Radiocarbon Modelling

modsem — 1.0.10

Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

blocking — 1.0.0

Various Blocking Methods for Entity Resolution

PCRedux — 1.2-0

Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit as Described in Burdukiewicz (2022) <doi:10.21105/Joss.04407>

polarzonoid — 0.1-2

Compute Maps and Properties of Polar Zonoids

secrdesign — 2.10.0

Sampling Design for Spatially Explicit Capture-Recapture

tvdenoising — 1.0.0

Univariate Total Variation Denoising

BaSTA — 2.0.2

Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data

bootSVD — 1.2

Fast, Exact Bootstrap Principal Component Analysis for High Dimensional Data

datana — 1.1.0

Datasets and Functions to Accompany Analisis De Datos Con R

Compositional — 7.5

Compositional Data Analysis

epiworldR — 0.8.3.0

Fast Agent-Based Epi Models

enmpa — 0.2.1

Ecological Niche Modeling using Presence-Absence Data

CDGHMM — 0.1.2

Hidden Markov Models for Multivariate Panel Data

gasmodel — 0.6.1

Generalized Autoregressive Score Models

sleev — 1.1.3

Semiparametric Likelihood Estimation with Errors in Variables

alone — 0.6

Datasets from the Survival TV Series Alone

hrqglas — 1.1.2

Group Variable Selection for Quantile and Robust Mean Regression

merDeriv — 0.2-5

Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models

zdeskR — 0.5.0

Connect to Your 'Zendesk' Data

mverse — 0.2.1

Tidy Multiverse Analysis Made Simple

testcorr — 0.3.0

Testing Zero Correlation

fairmetrics — 1.0.3

Fairness Evaluation Metrics with Confidence Intervals

netdiffuseR — 1.23.0

Analysis of Diffusion and Contagion Processes on Networks

sgs — 0.3.8

Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control

omock — 0.4.0

Creation of Mock Observational Medical Outcomes Partnership Common Data Model

svines — 0.2.7

Stationary Vine Copula Models

jskm — 0.5.13

Kaplan-Meier Plot with 'ggplot2'

multvardiv — 1.0.11

Multivariate Probability Distributions, Statistical Divergence

formods — 0.2.1

'Shiny' Modules for General Tasks

PhotoGEA — 1.3.3

Photosynthetic Gas Exchange Analysis

gapminder — 1.0.1

Data from Gapminder

survHE — 2.0.5

Survival Analysis in Health Economic Evaluation

climodr — 1.0.0

Climate Modeling with Point Data from Climate Stations

tidyspec — 0.1.0

Spectroscopy Analysis Using the Tidy Data Philosophy

ssutil — 1.0.0

Sample Size Calculation Tools

splineCox — 0.0.4

A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function

stgam — 1.0.2

Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models

spatialfusion — 0.7

Multivariate Analysis of Spatial Data Using a Unifying Spatial Fusion Framework

kde1d — 1.1.1

Univariate Kernel Density Estimation

rPBK — 0.2.5

Inference and Prediction of Generic Physiologically-Based Kinetic Models

fmesher — 0.4.0

Triangle Meshes and Related Geometry Tools

forestplot — 3.1.7

Advanced Forest Plot Using 'grid' Graphics

galah — 2.1.2

Biodiversity Data from the GBIF Node Network

greenR — 0.0.1.3

Green Index Quantification, Analysis and Visualization

urltools — 1.7.3.1

Vectorised Tools for URL Handling and Parsing

RcppDist — 0.1.1.1

'Rcpp' Integration of Additional Probability Distributions

rgbif — 3.8.2

Interface to the Global Biodiversity Information Facility API

FORTLS — 1.5.3

Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

aplot — 0.2.6

Decorate a 'ggplot' with Associated Information

aplotExtra — 0.0.4

Creating Composite Plots using 'aplot'

gchartsmap — 0.1.3

Access 'Google Charts' Map Data

pedbp — 2.0.3

Pediatric Blood Pressure

fwb — 0.4.0

Fractional Weighted Bootstrap

Luminescence — 1.1.0

Comprehensive Luminescence Dating Data Analysis

AudioScatter — 1.1.0

Audiogram Scattergrams

HIMA — 2.3.2

High-Dimensional Mediation Analysis

StempCens — 1.2.0

Spatio-Temporal Estimation and Prediction for Censored/Missing Responses

multifear — 0.1.4

Multiverse Analyses for Conditioning Data

cpfa — 1.2-0

Classification with Parallel Factor Analysis

simtrial — 1.0.0

Clinical Trial Simulation

ggtibble — 1.0.2

Create Tibbles and Lists of 'ggplot' Figures for Reporting

gausscov — 1.1.6

The Gaussian Covariate Method for Variable Selection

limSolve — 2.0

Solving Linear Inverse Models

DeepLearningCausal — 0.0.106

Causal Inference with Super Learner and Deep Neural Networks

semicontMANOVA — 0.2

Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data

PAutilities — 1.2.1

Streamline Physical Activity Research

spant — 3.4.0

MR Spectroscopy Analysis Tools

ClustBlock — 4.1.1

Clustering of Datasets

wideRhino — 1.0.2

High-Dimensional Methods via Generalised Singular Decomposition

dndR — 3.1.0

Dungeons & Dragons Functions for Players and Dungeon Masters

modsem — 1.0.9

Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)

SpatialRegimes — 1.2

Spatial Constrained Clusterwise Regression

ProfileLadder — 0.1.2

Functional Profile Chain Ladder for Claims Reserving

cpop — 1.0.8

Detection of Multiple Changes in Slope in Univariate Time-Series

alternativeROC — 0.0.12

Alternative and Fast ROC Analysis

flowmapper — 0.1.4

Draw Flows (Migration, Goods, Money, Information) on 'ggplot2' Plots

gloBFPr — 0.1.0

Access Global Building Height Datasets

hassediagrams — 1.0

Hasse Diagram of the Layout Structure and Restricted Layout Structure

tidyrstats — 0.1.0

Tidy Common R Statistical Functions