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 ·

TrendSLR — 1.0

Estimating Trend, Velocity and Acceleration from Sea Level Records

TrendTM — 2.0.21

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 — 0.3.1

Analyzing the Lying Behavior of Cows from Accelerometer Data

TriadSim — 0.3.0

Simulating Triad Genomewide Genotypes

TrialEmulation — 0.0.4.2

Causal Analysis of Observational Time-to-Event Data

trialr — 0.1.6

Clinical Trial Designs in 'rstan'

TrialSize — 1.4.1

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 — 0.3.3

Toolbox for Integrative Pathomics Analysis

trigpoints — 1.0.0

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

TriMatch — 1.0.0

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 — 0.7

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 — 1.3-9.2

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 — 1.1.0

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 — 1.0.2

Tools for Analyzing Cross-National Military Deployment and Basing Data

tropAlgebra — 0.1.1

Tropical Algebraic Functions

TropFishR — 1.6.5

Tropical Fisheries Analysis

trotter — 0.6

Pseudo-Vectors Containing All Permutations, Combinations and Subsets of Objects Taken from a Vector.

trouBBlme4SolveR — 0.1.2

Troubles Solver for 'lme4'

TroublemakeR — 0.0.1

Generates Spatial Problems in R for 'AMPL'

trps — 0.1.0

Bayesian Trophic Position Models using 'stan'

TrtCombo.FactorialExp.SR — 4.0.4

Generation of Treatment Combination (in Standard Order) in 2^n Factorial Experiment

trtf — 0.4-3

Transformation Trees and Forests

trtswitch — 0.1.6

Treatment Switching

trud — 0.1.0

Query the 'NHS TRUD API'

truelies — 0.2.0

Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments

TrueSkillThroughTime — 1.0.0

Skill Estimation Based on a Single Bayesian Network

truh — 1.0.0

Two-Sample Nonparametric Testing Under Heterogeneity

TrumpetPlots — 0.0.1.1

Visualization of Genetic Association Studies

truncAIPW — 1.0.1

Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation

TruncatedNormal — 2.3

Truncated Multivariate Normal and Student Distributions

truncdist — 1.0-2

Truncated Random Variables

TruncExpFam — 1.2.1

Truncated Exponential Family

truncnorm — 1.0-9

Truncated Normal Distribution

truncnormbayes — 0.0.3

Estimates Moments for a Truncated Normal Distribution using 'Stan'

truncreg — 0.2-5

Truncated Gaussian Regression Models

truncSP — 1.2.2

Semi-parametric estimators of truncated regression models

trust — 0.1-8

Trust Region Optimization

trustedtimestamping — 0.2.6

Create Trusted Timestamps of Datasets and Files

trustOptim — 0.8.7.3

Trust Region Optimization for Nonlinear Functions with Sparse Hessians

tryCatchLog — 1.3.1

Advanced 'tryCatch()' and 'try()' Functions

tryr — 0.1.1

Client/Server Error Handling for HTTP API Frameworks

TSA — 1.3.1

Time Series Analysis

tsallisqexp — 0.9-5

Tsallis q-Exp Distribution

TSANN — 0.1.0

Time Series Artificial Neural Network

tsapp — 1.0.4

Time Series, Analysis and Application

tsaux — 1.0.0

Time Series Forecasting Auxiliary Functions

tsbox — 0.4.2

Class-Agnostic Time Series

tsBSS — 1.0.0

Blind Source Separation and Supervised Dimension Reduction for Time Series

TSCI — 3.0.4

Tools for Causal Inference with Possibly Invalid Instrumental Variables

TSclust — 1.3.1

Time Series Clustering Utilities

tscopula — 0.3.9

Time Series Copula Models

tscount — 1.4.3

Analysis of Count Time Series

TSCS — 0.1.1

Time Series Cointegrated System

tsdataleaks — 2.1.1

Exploit Data Leakages in Time Series Forecasting Competitions

tsdb — 1.1-0

Terribly-Simple Data Base for Time Series

tsdecomp — 0.2

Decomposition of Time Series Data

TSdeeplearning — 0.1.0

Deep Learning Model for Time Series Forecasting

tsdf — 1.1-8

Two-/Three-Stage Designs for Phase 1&2 Clinical Trials

TSDFGS — 2.0

Training Set Determination for Genomic Selection

tsdisagg2 — 0.1.0

Time Series Disaggregation

TSdisaggregation — 2.0.0

High-Dimensional Temporal Disaggregation

TSdist — 3.7.1

Distance Measures for Time Series Data

tsdistributions — 1.0.3

Location Scale Standardized Distributions

TSDT — 1.0.8

Treatment-Specific Subgroup Detection Tool

tsDyn — 11.0.5.2

Nonlinear Time Series Models with Regime Switching

TSE — 0.1.0

Total Survey Error

TSEAL — 0.1.3

Time Series Analysis Library

TSEind — 0.1.0

Total Survey Error (Independent Samples)

tsensembler — 0.1.0

Dynamic Ensembles for Time Series Forecasting

tsentiment — 1.0.5

Fetching Tweet Data for Sentiment Analysis

TSEntropies — 0.9

Time Series Entropies

tseries — 0.10-58

Time Series Analysis and Computational Finance

tseriesChaos — 0.1-13.1

Analysis of Nonlinear Time Series

tseriesEntropy — 0.7-2

Entropy Based Analysis and Tests for Time Series

Next page