Most recently updated packages

phenology — 6.0.3

Tools to Manage a Parametric Function that Describes Phenology

Rdimtools — 0.1.3

Dimension Reduction and Estimation Methods

ThresholdROC — 2.6

Threshold Estimation

inferference — 1.0.0

Methods for Causal Inference with Interference

ecespa — 1.1-9

Functions for Spatial Point Pattern Analysis

tgram — 0.2-3

Compute and Plot Tracheidograms

rmcfs — 1.2.7

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

dixon — 0.0-6

Nearest Neighbour Contingency Table Analysis

Rramas — 0.1-5

Matrix Population Models

SNFtool — 2.2.1

Similarity Network Fusion

TrajDataMining — 0.1.4

Trajectories Data Mining

tscount — 1.4.1

Analysis of Count Time Series

venn — 1.5

Draw Venn Diagrams

replicatedpp2w — 0.1-2

Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns

unitizer — 1.4.5

Interactive R Unit Tests

cctools — 0.1.1

Tools for the Continuous Convolution Trick in Nonparametric Estimation

RcppThread — 0.1.2

R-Friendly Threading in C++

LAM — 0.1-22

Some Latent Variable Models

tmaptools — 1.2-2

Thematic Map Tools

reticulate — 1.3.1

R Interface to Python

covTestR — 0.1.1

Covariance Matrix Tests

STARTS — 0.2-10

Functions for the STARTS Model

gpHist — 0.1

Gaussian Process with Histogram Intersection Kernel

Aoptbdtvc — 0.0.2

A-Optimal Block Designs for Comparing Test Treatments with Controls

fmriqa — 0.1.0

Functional MRI Quality Assurance Routines

fDMA — 2.2.1

Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes

tmap — 1.11

Thematic Maps

qle — 0.16-6

Simulation-Based Quasi-Likelihood Estimation

vdmR — 0.2.5

Visual Data Mining Tools

loa — 0.2.43.1

Lattice Options and Add-Ins

ANN2 — 1.4

Artificial Neural Networks for Anomaly Detection

galts — 1.3.1

Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares) Estimation

lime — 0.3.1

Local Interpretable Model-Agnostic Explanations

SteinerNet — 2.0

Steiner Tree Approach for Graph Analysis

DLMtool — 5.0.1

Data-Limited Methods Toolkit

GFGM.copula — 1.0.1

Generalized Farlie-Gumbel-Morgenstern Copula

packcircles — 0.3.0

Circle Packing

PracTools — 0.7

Tools for Designing and Weighting Survey Samples

Rcpp — 0.12.14

Seamless R and C++ Integration

sirt — 2.3-57

Supplementary Item Response Theory Models

bioinactivation — 1.2.0

Simulation of Dynamic Microbial Inactivation

mrfDepth — 1.0.6

Depth Measures in Multivariate, Regression and Functional Settings

Compositional — 2.7

Compositional Data Analysis

TrajDataMining — 0.1.3

Trajectories Data Mining

Ternary — 0.1.1

Plot Ternary Diagrams

stplanr — 0.2.1

Sustainable Transport Planning

ecospat — 2.2.0

Spatial Ecology Miscellaneous Methods

MVar.pt — 1.9.9

Analise multivariada (brazilian portuguese)

CopulaDTA — 1.0.0

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

embryogrowth — 7.1

Tools to Analyze the Thermal Reaction Norm of Embryo Growth

joint.Cox — 2.14

Penalized Likelihood Estimation and Dynamic Prediction under the Joint Frailty-Copula Models Between Tumour Progression and Death for Meta-Analysis

lawstat — 3.2

Tools for Biostatistics, Public Policy, and Law

s20x — 3.1-25

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

distcrete — 1.0.3

Discrete Distribution Approximations

Rnightlights — 0.1.4

Satellite Nightlight Data Extraction

adjustedcranlogs — 0.1.0

Remove Automated and Repeated Downloads from 'RStudio' 'CRAN' Download Logs

iClick — 1.3

A Button-Based GUI for Financial and Economic Data Analysis

forega — 1.0.3

Floating-Point Genetic Algorithms with Statistical Forecast Based Inheritance Operator

powdist — 0.1.4

Power and Reversal Power Distributions

palm — 1.1.0

Fitting Point Process Models via the Palm Likelihood

CorporaCoCo — 1.1-0

Corpora Co-Occurrence Comparison

BinaryEPPM — 2.1

Mean and Variance Modeling of Binary Data

JMcmprsk — 0.9

Joint Models for Longitudinal Measurements and Competing Risks Failure Time Data

odk — 1.4

Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame

wtest — 2.0

The W-Test on Genetic Interactions Testing

MHTdiscrete — 1.0.0

Multiple Hypotheses Testing for Discrete Data

RSurvey — 0.9.2

Geographic Information System Application

IDCard — 0.3.0

Update Chinese ID Card Number to Eighteen Digits

boclust — 0.1.1

A Clustering Method Based on Boosting on Single Attributes

sn — 1.5-1

The Skew-Normal and Related Distributions Such as the Skew-t

d3r — 0.7.1

'd3.js' Utilities for R

hms — 0.4.0

Pretty Time of Day

TempleMetrics — 1.1.0

Estimating Conditional Distributions

sjstats — 0.13.0

Collection of Convenient Functions for Common Statistical Computations

entropart — 1.4-8

Entropy Partitioning to Measure Diversity

mgm — 1.2-2

Estimating Time-Varying k-Order Mixed Graphical Models

domino — 0.3.1

R Console Bindings for the 'Domino Command-Line Client'

LocalControl — 1.1.0

Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence

ExplainPrediction — 1.2.3

Explanation of Predictions for Classification and Regression Models

plsVarSel — 0.9.3

Variable Selection in Partial Least Squares

KMgene — 1.2

Gene-Based Association Analysis for Complex Traits

futility — 0.2

Interim Analysis of Operational Futility in Randomized Trials with Time-to-Event Endpoints and Fixed Follow-Up

blscrapeR — 3.1.1

An API Wrapper for the Bureau of Labor Statistics (BLS)

ggfan — 0.1.1

Summarise a Distribution Through Coloured Intervals

bucky — 1.0.3

Bucky's Archive for Data Analysis in the Social Sciences

Nippon — 0.6.4

Japanese Utility Functions and Data

bssm — 0.1.2

Bayesian Inference of Non-Linear and Non-Gaussian State Space Models

dynamichazard — 0.5.0

Dynamic Hazard Models using State Space Models

miic — 1.0

Multivariate Information Inductive Causation

DVHmetrics — 0.3.7

Analyze Dose-Volume Histograms and Check Constraints

ManifoldOptim — 0.1.4

An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization

LCF — 1.7.0

Linear Combination Fitting

SELF — 0.1.1

A Structural Equation Embedded Likelihood Framework for Causal Discovery

reactR — 0.1.4

React Helpers

provenance — 1.8

Statistical Toolbox for Sedimentary Provenance Analysis

wTO — 1.4.1

Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network

dyads — 1.1

Dyadic Network Analysis

dng — 0.1.1

Distributions and Gradients

Directional — 3.0

Directional Statistics

RLumModel — 0.2.3

Solving Ordinary Differential Equations to Understand Luminescence