development

Confidence Regions for Optima of Response Surfaces

R Port of the 'Scilab' Optimbase Module

Graphical and Numerical Checks for Mode-Finding Routines

Derivative-Based Optimization with User-Defined Convergence Criteria

General-Purpose Gradient-Based Optimization

Flexible Optimization of Complex Loss Functions with State and Parameter Space Constraints

Unified Framework for Numerical Optimizers

Further Numerical Optimization Algorithms

Robust Land-Use Optimization

Perform Nonlinear Regression Using 'optim' as the Optimization Engine

Parallel Version of the L-BFGS-B Optimization Method

R Port of the 'Scilab' Optimsimplex Module

Choosing the Sample Strategy

Model Based Diagnostics for Multivariate Cluster Analysis

Expanded Replacement and Extension of the 'optim' Function

Optional Types and Pattern Matching

Option Pricing with Efficient Simulation Algorithms

Simple, Consistent Package Options

Utilizes the Black-Scholes Option Pricing Model to Perform Strategic Option Analysis and Plot Opti…

Optimal Scaling

Optimum Contribution Selection and Population Genetics

Optimization Based Ensemble Forecasting Using MCS Algorithm

Linear, Quadratic, and Rational Optimization

Determine Optimum Stocking Times Used in Fishery Enhancements

Estimating the Optimal Number of Migration Edges from 'Treemix'

Functions for Optimal Matching

Optimal Two-Stage Designs for Ordered Categorical Outcomes

Command Line Option Parser

Optimal Partitioning of Similarity Relations

Optimization Toolbox for Solving Linear Systems

Optimal Row-Column Designs for Two-Colour cDNA Microarray Experiments

Hierarchical Runtime Configuration Management

Optimally Refine Strata

Optimising Random Forest Stability by Determining the Optimal Number of Trees

Optimization via Subsampling (OPTS)

Optimal Level of Significance for Regression and Other Statistical Tests

Optimal Plot Size Estimation for Field Experiments

Optimal Survival Cut-Point Discovery for Time-to-Event Analysis with 'OptSurvCutR'

Optimal Testing

Optimization-Based Stable Balancing Weights

OPUS Miner Algorithm for Filtered Top-k Association Discovery

Read Spectroscopic Data from Bruker OPUS Binary Files

Multi-Horizon Electricity Demand Forecasting in High Resolution

Retrieving Oral Opioid Information

Automated Analysis of Phenotypic Data

Predict with 'tidymodels' Workflows in Databases

A Tidy Physics Engine for Building and Visualizing Orbital Simulations

Fast and Efficient Graph Data Structures

Computation of Graphlet Orbit Counts in Sparse Graphs

Download Official Data on Brazil's Federal Budget

Retrieve Data from the ORCID Public API

Subspace Clustering Based on Arbitrarily Oriented Projected Cluster Generation

Order Restricted Clustering for Microarray Experiments

Omnidirectional R Code Snippets

Estimate Procedure in Case of First Order Autocorrelation

Ordered Beta Regression Models with 'brms'

Ordinal Causal Discovery

Likelihood-Based Continual Reassessment Method (CRM) Dose Finding Designs

Separating Location and Dispersion in Ordinal Regression Models

Extracting Order Position Tables from PDF-Based Order Documents

'parsnip' Engines and Wrappers for Ordinal Classification Models

Test, Check, Verify, Investigate the Monotonic Properties of Vectors

Lightweight Reproducible Reporting

Sampling from k-th Order Statistics of New Families of Distributions

Efficiently Generates Random Order Statistic Variables

Least Squares, Logistic, and Cox-Regression with Ordered Predictors

Additive Model for Ordinal Data using Laplace P-Splines

Ordinated Diet Breadth

Regression Models for Ordinal Data

Bayesian Ordinal Regression for High-Dimensional Data

Ordinal Data Clustering, Co-Clustering and Classification

Wasserstein-Based Regression for Ordinal Compositional Data

Ordinal Regression Analysis for Continuous Scales

Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables

Ordinal Regression for High-Dimensional Data

Goodness-of-Fit Tests for Ordinal Regression Models

Co-Clustering of Ordinal Data via Latent Continuous Random Variables

Penalized Ordinal Regression

Tests Based on Ordinal Patterns

Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements

Compare Ordinal Endpoints Using Simulations

Fit Models to Two-Way Tables with Correlated Ordered Response Categories

Compute Least Squares Estimates of One Bounded or Two Ordered Isotonic Regression Curves

Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distri…

Ordered Panel