All packages

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optedr — 2.0.0

Calculating Optimal and D-Augmented Designs

optextras — 2019-12.4

Tools to Support Optimization Possibly with Bounds and Masks

OptGS — 1.2

Near-Optimal Group-Sequential Designs for Continuous Outcomes

OptHedging — 1.0

Estimation of value and hedging strategy of call and put options.

OptHoldoutSize — 0.1.0.0

Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score

optic — 1.0.1

Simulation Tool for Causal Inference Using Longitudinal Data

optical — 1.7.1

Optimal Item Calibration

opticskxi — 0.1

OPTICS K-Xi Density-Based Clustering

opticut — 0.1-2

Likelihood Based Optimal Partitioning and Indicator Species Analysis

optifunset — 1.0

Set Options if Unset

optigrab — 0.9.2.1

Command-Line Parsing for an R World

optim.functions — 0.1

Standard Benchmark Optimization Functions

OptimalCutpoints — 1.1-5

Computing Optimal Cutpoints in Diagnostic Tests

OptimalDesign — 1.0.1

A Toolbox for Computing Efficient Designs of Experiments

OptimalGoldstandardDesigns — 1.0.1

Design Parameter Optimization for Gold-Standard Non-Inferiority Trials

optimall — 1.1.0

Allocate Samples Among Strata

OptimalRerandExpDesigns — 1.1

Optimal Rerandomization Experimental Designs

OptimalSurrogate — 1.0

Model Free Approach to Quantifying Surrogacy

optimalThreshold — 1.0

Bayesian Methods for Optimal Threshold Estimation

OptimalTiming — 0.1.0

Optimal Timing Identification

OptimaRegion — 1.2

Confidence Regions for Optima of Response Surfaces

optimbase — 1.0-10

R Port of the 'Scilab' Optimbase Module

optimCheck — 1.0

Graphical and Numerical Checks for Mode-Finding Routines

optimg — 0.1.2

General-Purpose Gradient-Based Optimization

optimization — 1.0-9

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

optimizeR — 1.0.5

Unified Framework for Numerical Optimizers

optimLanduse — 1.2.1

Robust Land-Use Optimization

OptimModel — 2.0-1

Perform Nonlinear Regression Using 'optim' as the Optimization Engine

optimos.prime — 0.1.2

Optimos Prime Helps Calculate Autoecological Data for Biological Species

optimParallel — 1.0-2

Parallel Version of the L-BFGS-B Optimization Method

optimsimplex — 1.0-8

R Port of the 'Scilab' Optimsimplex Module

optimStrat — 2.4

Choosing the Sample Strategy

optimus — 0.2.0

Model Based Diagnostics for Multivariate Cluster Analysis

optimx — 2023-10.21

Expanded Replacement and Extension of the 'optim' Function

optional — 2.0.1

Optional Types and Pattern Matching

OptionPricing — 0.1.2

Option Pricing with Efficient Simulation Algorithms

options — 0.1.0

Simple, Consistent Package Options

optionstrat — 1.4.1

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

OptiSembleForecasting — 0.1.0

Optimization Based Ensemble Forecasting Using MCS Algorithm

optiSolve — 1.0

Linear, Quadratic, and Rational Optimization

optistock — 0.0.2

Determine Optimum Stocking Times Used in Fishery Enhancements

OptM — 0.1.6

Estimating the Optimal Number of Migration Edges from 'Treemix'

optmatch — 0.10.7

Functions for Optimal Matching

optparse — 1.7.5

Command Line Option Parser

optpart — 3.0-3

Optimal Partitioning of Similarity Relations

optR — 1.2.5

Optimization Toolbox for Solving Linear Systems

optrcdmaeAT — 1.0.0

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

optrefine — 1.1.0

Optimally Refine Strata

OPTS — 0.1

Optimization via Subsampling (OPTS)

OptSig — 2.2

Optimal Level of Significance for Regression and Other Statistical Tests

OPTtesting — 1.0.0

Optimal Testing

optweight — 0.2.5

Targeted Stable Balancing Weights Using Optimization

opusminer — 0.1-1

OPUS Miner Algorithm for Filtered Top-k Association Discovery

OralOpioids — 2.0.3

Retrieving Oral Opioid Information

orbweaver — 0.0.3

Fast and Efficient Graph Data Structures

orca — 1.1-2

Computation of Graphlet Orbit Counts in Sparse Graphs

orclus — 0.2-6

Subspace Clustering Based on Arbitrarily Oriented Projected Cluster Generation

ORCME — 2.0.2

Order Restricted Clustering for Microarray Experiments

Orcs — 1.2.3

Omnidirectional R Code Snippets

orcutt — 2.3

Estimate Procedure in Case of First Order Autocorrelation

ordbetareg — 0.7.2

Ordered Beta Regression Models with 'brms'

OrdCD — 1.1.2

Ordinal Causal Discovery

ordcrm — 1.0.0

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

ordDisp — 2.1.1

Separating Location and Dispersion in Ordinal Regression Models

ordering — 0.7.0

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

orderly — 1.4.3

Lightweight Reproducible Reporting

orders — 0.1.8

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

orderstats — 0.1.0

Efficiently Generates Random Order Statistic Variables

OrdFacReg — 1.0.6

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

ordgam — 0.9.1

Additive Model for Ordinal Data using Laplace P-Splines

ordiBreadth — 1.0

Ordinated Diet Breadth

ordinal — 2023.12-4

Regression Models for Ordinal Data

ordinalbayes — 0.1.1

Bayesian Ordinal Regression for High-Dimensional Data

ordinalCont — 2.0.2

Ordinal Regression Analysis for Continuous Scales

ordinalForest — 2.4-3

Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables

ordinalgmifs — 1.0.8

Ordinal Regression for High-Dimensional Data

ordinalLBM — 1.0

Co-Clustering of Ordinal Data via Latent Continuous Random Variables

ordinalNet — 2.12

Penalized Ordinal Regression

ordinalpattern — 0.2.3

Tests Based on Ordinal Patterns

ordinalRR — 1.1

Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements

OrdMonReg — 1.0.3

Compute least squares estimates of one bounded or two ordered isotonic regression curves

OrdNor — 2.2.3

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

ordPens — 1.1.0

Selection, Fusion, Smoothing and Principal Components Analysis for Ordinal Variables

ordr — 0.1.1

A 'tidyverse' Extension for Ordinations and Biplots

ore — 1.7.4.1

An R Interface to the Onigmo Regular Expression Library

oreo — 1.0

Large Amplitude Oscillatory Shear (LAOS)

orf — 0.1.4

Ordered Random Forests

ORFID — 1.0.2

Manage and Summarize Data from Oregon RFID ORMR and ORSR Antenna Readers

org — 2022.11.23

Organising Projects

organizr — 0.1.0

Shortcuts for File Creation with Informative Prefixes

OrgMassSpecR — 0.5-3

Organic Mass Spectrometry

orgR — 0.9.0

Analyse Text Files Created by Emacs' Org mode

orgutils — 0.5-0

Helper Functions for Org Files

ORIClust — 1.0-2

Order-Restricted Information Criterion-Based Clustering Algorithm

orientlib — 0.10.5

Support for Orientation Data

origami — 1.0.7

Generalized Framework for Cross-Validation

origin — 1.1.2

Explicitly Qualifying Namespaces by Automatically Adding 'pkg::' to Functions

ORION — 1.0.3

Ordinal Relations

ORKM — 0.7.0.0

The Online Regularized K-Means Clustering Algorithm

orloca — 5.6

Operations Research LOCational Analysis Models

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