rPackages

Truncated Normal Distribution

Estimates Moments for a Truncated Normal Distribution using 'Stan'

Truncated Gaussian Regression Models

Semi-parametric estimators of truncated regression models

Trust Region Optimization

Create Trusted Timestamps of Datasets and Files

Inspect and Clean Subject-Generated ID Codes and Related Data

Trust Region Optimization for Nonlinear Functions with Sparse Hessians

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

Client/Server Error Handling for HTTP API Frameworks

Time Series Analysis

Tsallis q-Exp Distribution

Time Series Artificial Neural Network

Time Series, Analysis and Application

Time Series Forecasting Auxiliary Functions

Class-Agnostic Time Series

Blind Source Separation and Supervised Dimension Reduction for Time Series

Tools for Causal Inference with Possibly Invalid Instrumental Variables

Time Series Clustering Utilities

Time Series Copula Models

Analysis of Count Time Series

Time Series Cointegrated System

Exploit Data Leakages in Time Series Forecasting Competitions

Terribly-Simple Data Base for Time Series

Decomposition of Time Series Data

Deep Learning Model for Time Series Forecasting

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

Training Set Determination for Genomic Selection

Time Series Disaggregation

High-Dimensional Temporal Disaggregation

Distance Measures for Time Series Data

Location Scale Standardized Distributions

Treatment-Specific Subgroup Detection Tool

Nonlinear Time Series Models with Regime Switching

Total Survey Error

Time Series Analysis Library

Total Survey Error (Independent Samples)

Dynamic Ensembles for Time Series Forecasting

Fetching Tweet Data for Sentiment Analysis

Time Series Entropies

Time Series Analysis and Computational Finance

Analysis of Nonlinear Time Series

Entropy Based Analysis and Tests for Time Series

Multiscale Multifractal Analysis of Time Series Data

Analysis of Nonlinear Time Series Through Threshold Autoregressive Moving Average Models (TARMA) M…

Manage Data from Stock Exchange Markets

Total Survey Error Under Multiple, Different Weighting Schemes

Two Stage Forecasting (TSF) for Long Memory Time Series in Presence of Structural Break

Time Series Feature Extraction

Time Series Forecasting Using GRNN

Time Series Forecasting Using Nearest Neighbors

Time Series Forecasting using Nonlinear Growth Models

Univariate GARCH Models

Time Series Methods Based on Growth Curves

Trait Specific Gene Selection using SVM and GA

Two Stage-Grouped Sure Independence Screening

Two Stage Hazard Rate Comparison

Tidy Temporal Data Frames and Tools

Diverse Datasets for 'tsibble'

Interactive Graphics for Tsibble Objects

Intermittent Time Series Forecasting

An Implementation of the TSIR Model

Linear Innovations State Space Unobserved Components Model

Tree-Guided Rare Feature Selection and Logic Aggregation

Long Short Term Memory (LSTM) Model for Time Series Forecasting

Long-Short Term Memory for Time-Series Forecasting, Enhanced

Predict Time Series Using LSTM Model Including Exogenous Variable to Denote Zero Values

Multivariate ARCH Models

Time Series Methods

Truncated Scale Mixtures of Normal Distributions

Time Series Modeling for Air Pollution and Health

Time Series with Matrix Profile

Truncated Scale Mixtures of Skew-Normal Distributions

Tools for Temporal Social Network Analysis

T-Distributed Stochastic Neighbor Embedding for R (t-SNE)

Fitting, Comparing, and Visualizing Networks Based on Time Series Data

Detection of Outliers in Time Series

Infrastructure for the Traveling Salesperson Problem

Improved Prediction Intervals for ARIMA Processes and Structural Time Series

Instance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Probl…