MyNixOS website logo
categories

development

Showing entries 35301-35400 out of 58836.
Optimal Binning and Weight of Evidence Framework for Modeling
Computing Optimal Cutpoints in Diagnostic Tests
A Toolbox for Computing Efficient Designs of Experiments
Design Parameter Optimization for Gold-Standard Non-Inferiority Trials
Allocate Samples Among Strata
Optimal Rerandomization Experimental Designs
Model Free Approach to Quantifying Surrogacy
Bayesian Methods for Optimal Threshold Estimation
Optimal Timing Identification
Confidence Regions for Optima of Response Surfaces
R Port of the 'Scilab' Optimbase Module
Graphical and Numerical Checks for Mode-Finding Routines
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
r-OptMNix package
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
r-optRNix package
Optimization Toolbox for Solving Linear Systems
Optimal Row-Column Designs for Two-Colour cDNA Microarray Experiments
Hierarchical Runtime Configuration Management
Optimally Refine Strata
r-optRFNix package
Optimising Random Forest Stability by Determining the Optimal Number of Trees
r-OPTSNix package
Optimization via Subsampling (OPTS)
Optimal Level of Significance for Regression and Other Statistical Tests
Optimal Plot Size Estimation for Field Experiments
Optimal Testing
Optimization-Based Stable Balancing Weights
OPUS Miner Algorithm for Filtered Top-k Association Discovery
Read Spectroscopic Data from Bruker OPUS Binary Files
r-OpVaRNix package
r-oraNix package
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
r-orcaNix package
Computation of Graphlet Orbit Counts in Sparse Graphs
Download Official Data on Brazil's Federal Budget
r-ORCINix package
Retrieve Data from the ORCID Public API
Subspace Clustering Based on Arbitrarily Oriented Projected Cluster Generation
r-ORCMENix package
Order Restricted Clustering for Microarray Experiments
r-OrcsNix package
Omnidirectional R Code Snippets
Estimate Procedure in Case of First Order Autocorrelation
Ordered Beta Regression Models with 'brms'
r-OrdCDNix package
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
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