All packages

· A · B · C · D · E · F · G · H · I · J · K · L · M · N · O · P · Q · R · S · T · U · V · W · X · Y · Z ·

transx — 0.0.1

Transform Univariate Time Series

trapezoid — 2.0-2

The Trapezoidal Distribution

Tratamentos.ad — 0.2.4

Pacote Para Analise De Experimentos Com Testemunhas Adicionais

traudem — 1.0.3

Use TauDEM

traveltimeR — 1.2.1

Interface to 'Travel Time' API

trawl — 0.2.2

Estimation and Simulation of Trawl Processes

TRD — 1.1

Transmission Ratio Distortion

treasury — 0.1.0

US Treasury XML Feed Wrapper

TreatmentPatterns — 2.6.7

Analyzes Real-World Treatment Patterns of a Study Population of Interest

TreatmentSelection — 2.1.1

Evaluate Treatment Selection Biomarkers

treats — 1.0

Trees and Traits Simulations

tree — 1.0-43

Classification and Regression Trees

tree.interpreter — 0.1.1

Random Forest Prediction Decomposition and Feature Importance Measure

tree3d — 0.1.2

3D Tree Models

treebalance — 1.2.0

Computation of Tree (Im)Balance Indices

treebase — 0.1.5

Discovery, Access and Manipulation of 'TreeBASE' Phylogenies

TreeBUGS — 1.5.0

Hierarchical Multinomial Processing Tree Modeling

treeClust — 1.1-7

Cluster Distances Through Trees

treeDA — 0.0.5

Tree-Based Discriminant Analysis

treedata.table — 0.1.0

Manipulation of Matched Phylogenies and Data using 'data.table'

treedater — 0.5.0

Fast Molecular Clock Dating of Phylogenetic Trees with Rate Variation

treeDbalance — 1.0.1

Computation of 3D Tree Imbalance

TreeDep — 0.1.3

Air Pollution Removal by Dry Deposition on Trees

TreeDiagram — 0.1.1

Tree Diagram

treediff — 0.2.1

Testing Differences Between Families of Trees

TreeDimensionTest — 0.0.2

Trajectory Presence and Heterogeneity in Multivariate Data

TreeDist — 2.7.0

Calculate and Map Distances Between Phylogenetic Trees

treefit — 1.0.2

The First Software for Quantitative Trajectory Inference

treeheatr — 0.2.1

Heatmap-Integrated Decision Tree Visualizations

treemap — 2.4-4

Treemap Visualization

treemapify — 2.5.6

Draw Treemaps in 'ggplot2'

TreeMineR — 1.0.1

Tree-Based Scan Statistics

treenomial — 1.1.4

Comparison of Trees using a Tree Defining Polynomial

treePlotArea — 2.1.0

Correction Factors for Tree Plot Areas Intersected by Stand Boundaries

TreeRingShape — 3.0.3

Recording Tree-Ring Shapes of Tree Disks with Manual Digitizing and Interpolating Model

TreeSearch — 1.5.1

Phylogenetic Analysis with Discrete Character Data

treeshap — 0.3.1

Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm

TreeSim — 2.4

Simulating Phylogenetic Trees

TreeSimGM — 2.5

Simulating Phylogenetic Trees under General Bellman Harris and Lineage Shift Model

treesitter — 0.1.0

Bindings to 'Tree-Sitter'

treesitter.r — 1.0.1

'R' Grammar for 'Tree-Sitter'

treesliceR — 1.0.1

To Slice Phylogenetic Trees and Infer Evolutionary Patterns Over Time

treespace — 1.1.4.3

Statistical Exploration of Landscapes of Phylogenetic Trees

treestartr — 0.1.0

Generate Starting Trees for Combined Molecular, Morphological and Stratigraphic Data

treestats — 1.0.5

Phylogenetic Tree Statistics

treestructure — 0.1.0

Detect Population Structure Within Phylogenetic Trees

TreeTools — 1.11.1

Create, Modify and Analyse Phylogenetic Trees

trekcolors — 0.1.3

Star Trek Color Palettes

trekfont — 0.9.5

Star Trek Fonts Collection

trelliscopejs — 0.2.6

Create Interactive Trelliscope Displays

trelloR — 0.8.0

Access the Trello API

tremendousr — 1.0.0

Easily Send Rewards and Incentives with 'Tremendous' from R

TrenchR — 1.1.1

Tools for Microclimate and Biophysical Ecology

trend — 1.1.6

Non-Parametric Trend Tests and Change-Point Detection

trendchange — 1.2

Innovative Trend Analysis and Time-Series Change Point Analysis

trendeval — 0.1.0

Evaluate Trending Models

trending — 0.1.0

Model Temporal Trends

TrendInTrend — 1.1.3

Odds Ratio Estimation and Power Calculation for the Trend in Trend Model

TrendLSW — 1.0.2

Wavelet Methods for Analysing Locally Stationary Time Series

trendsegmentR — 1.3.0

Linear Trend Segmentation

TrendSLR — 1.0

Estimating Trend, Velocity and Acceleration from Sea Level Records

TrendTM — 2.0.19

Trend of High-Dimensional Time Series Matrix Estimation

Trendtwosub — 0.0.2

Two Sample Order Free Trend Nonparametric Inference

trendyy — 0.1.1

A Tidy Wrapper Around 'gtrendsR'

TRES — 1.1.5

Tensor Regression with Envelope Structure

TRexSelector — 1.0.0

T-Rex Selector: High-Dimensional Variable Selection & FDR Control

Tri.Hierarchical.IBDs — 1.0.0

Tri-Hierarchical IBDs (Tri- Hierarchical Incomplete Block Designs)

triact — 0.3.0

Analyzing the Lying Behavior of Cows from Accelerometer Data

TriadSim — 0.3.0

Simulating Triad Genomewide Genotypes

TrialEmulation — 0.0.3.8

Causal Analysis of Observational Time-to-Event Data

trialr — 0.1.6

Clinical Trial Designs in 'rstan'

TrialSize — 1.4

R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample Size Calculation in Clinical Research

triangle — 1.0

Distribution Functions and Parameter Estimates for the Triangle Distribution

triangulation — 0.5.0

Determine Position of Observer

triangulr — 1.2.1

High-Performance Triangular Distribution Functions

tricolore — 1.2.4

A Flexible Color Scale for Ternary Compositions

TriDimRegression — 1.0.2

Bayesian Statistics for 2D/3D Transformations

triebeard — 0.4.1

'Radix' Trees in 'Rcpp'

triggerstrategy — 1.2.0

Trigger Strategy in Clinical Trials

tRigon — 0.3.2

Toolbox for Integrative Pathomics Analysis

trigpoints — 1.0.0

Data Set of Trig Points in Great Britain in British National Grid Coordinates

TriMatch — 0.9.9

Propensity Score Matching of Non-Binary Treatments

trimcluster — 0.1-5

Cluster Analysis with Trimming

trimetStops — 0.1.0

Information on all of the TriMet Stops in the Portland Metro Area

trimmer — 0.8.1

Trim an Object

trimr — 1.1.1

An Implementation of Common Response Time Trimming Methods

trinROC — 0.6

Statistical Tests for Assessing Trinormal ROC Data

TrioSGL — 1.1.0

Trio Model with a Combination of Lasso and Group Lasso Regularization

trip — 1.10.0

Tracking Data

tripack — 1.3-9.1

Triangulation of Irregularly Spaced Data

tripEstimation — 0.0-46

Metropolis Sampler and Supporting Functions for Estimating Animal Movement from Archival Tags and Satellite Fixes

TripleR — 1.5.4

Social Relation Model (SRM) Analyses for Single or Multiple Groups

triplesmatch — 1.0.0

Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa

triplot — 1.3.0

Explaining Correlated Features in Machine Learning Models

tripsAndDipR — 0.1.0

Identification of 2n and 3n Samples from Amplicon Sequencing Data

triptych — 0.1.3

Diagnostic Graphics to Evaluate Forecast Performance

triversity — 1.0

Diversity Measures on Tripartite Graphs

TRMF — 0.2.1

Temporally Regularized Matrix Factorization

tRnslate — 0.0.3

Translate R Code in Source Files

troopdata — 1.0.0

Tools for Analyzing Cross-National Military Deployment and Basing Data

Next page