lhs: Latin Hypercube Samples

Canonical link: https://rscholar.com/pkg/lhs

Rob Carnell • View description and downloads View dependencies GitHub project

2006 Published

1.2.0 Version

0 Citations

1 Authors

Referenced by ⇅	Year
hydroPSO: Particle Swarm Optimisation, with Focus on Environmental Models (Version 0.5-1)	2012
liGP: Locally Induced Gaussian Process Regression (Version 1.0.1)	2021
mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)	2013
moko: Multi-Objective Kriging Optimization (Version 1.0.3)	2016
netgen: Network Generator for Combinatorial Graph Problems (Version 1.3.2)	2015
SACOBRA: Self-Adjusting COBRA (Version 1.2)	2015
yap: Yet Another Probabilistic Neural Network (Version 0.1.1)	2020
IGP: Interchangeable Gaussian Process Models (Version 0.2.1)	2017
DynamicGP: Modelling and Analysis of Dynamic Computer Experiments (Version 1.1-9)	2018
BayesianPlatformDesignTimeTrend: Simulate and Analyse Bayesian Platform Trial with Time Trend (Version 1.2.3)	2023
BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics (Version 0.1.8)	2017
ChemoSpec2D: Exploratory Chemometrics for 2D Spectroscopy (Version 0.5.0)	2018
ContourFunctions: Create Contour Plots from Data or a Function (Version 0.1.2)	2017
DSAIDE: Dynamical Systems Approach to Infectious Disease Epidemiology (Ecology/Evolution) (Version 0.9.6)	2017
DSAIRM: Dynamical Systems Approach to Immune Response Modeling (Version 0.9.6)	2018
DoE.wrapper: Wrapper Package for Design of Experiments Functionality (Version 0.12)	2009
ENMTools: Analysis of Niche Evolution using Niche and Distribution Models (Version 1.1.2)	2020
EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes (Version 1.5.2)	2012
GAparsimony: Searching Parsimony Models with Genetic Algorithms (Version 0.9.5)	2017
GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets (Version 3.0.1)	2018
GPfit: Gaussian Processes Modeling (Version 1.0-8)	2012
GauPro: Gaussian Process Fitting (Version 0.2.13)	2016
LVGP: Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables (Version 2.1.5)	2018
MaOEA: Many Objective Evolutionary Algorithm (Version 0.6.2)	2019
OSFD: Output Space-Filling Design (Version 1.0)	2023
OUwie: Analysis of Evolutionary Rates in an OU Framework (Version 2.10)	2011
OptimaRegion: Confidence Regions for Optima of Response Surfaces (Version 1.2)	2016
ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters (Version 1.2.6)	2018
ParamHelpers: Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning (Version 1.14.1)	2012
RKHSMetaMod: Ridge Group Sparse Optimization Problem for Estimation of a Meta Model Based on Reproducing Kernel Hilbert Spaces (Version 1.1)	2019
RNAmf: Recursive Non-Additive Emulator for Multi-Fidelity Data (Version 1.0.0)	2023
SOAs: Creation of Stratum Orthogonal Arrays (Version 1.4)	2021
VeccTMVN: Multivariate Normal Probabilities using Vecchia Approximation (Version 1.2.0)	2024
acebayes: Optimal Bayesian Experimental Design using the ACE Algorithm (Version 1.10)	2016
activegp: Gaussian Process Based Design and Analysis for the Active Subspace Method (Version 1.1.1)	2020
binaryGP: Fit and Predict a Gaussian Process Model with (Time-Series) Binary Response (Version 0.2)	2017
comparer: Compare Output and Run Time (Version 0.2.4)	2017
dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations (Version 2.4.0)	2022
dynparam: Creating Meta-Information for Parameters (Version 1.0.2)	2019
ezECM: Event Categorization Matrix Classification for Nuclear Detonations (Version 1.0.0)	2024
flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)	2015
ggDoE: Modern Graphs for Design of Experiments with 'ggplot2' (Version 0.8)	2022
grapherator: A Modular Multi-Step Graph Generator (Version 1.0.0)	2017
hetGP: Heteroskedastic Gaussian Process Modeling and Design under Replication (Version 1.1.7)	2017
hmer: History Matching and Emulation Package (Version 1.6.0)	2022
imabc: Incremental Mixture Approximate Bayesian Computation (IMABC) (Version 1.0.0)	2021
inaparc: Initialization Algorithms for Partitioning Cluster Analysis (Version 1.2.0)	2017
laGP: Local Approximate Gaussian Process Regression (Version 1.5-9)	2013
leapgp: Localized Ensemble of Approximate Gaussian Processes (Version 1.0.0)	2024
maximin: Space-Filling Design under Maximin Distance (Version 1.0-5)	2018
mixopt: Mixed Variable Optimization (Version 0.1.3)	2022
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.6)	2022
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
nlrx: Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via 'XML' (Version 0.4.5)	2019
nls2: Non-Linear Regression with Brute Force (Version 0.3-4)	2007
optim.functions: Standard Benchmark Optimization Functions (Version 0.1)	2017
paradox: Define and Work with Parameter Spaces for Complex Algorithms (Version 1.0.1)	2019
poems: Pattern-Oriented Ensemble Modeling System (Version 1.3.1)	2021
profExtrema: Compute and Visualize Profile Extrema Functions (Version 0.2.1)	2018
rrepast: Invoke 'Repast Simphony' Simulation Models (Version 0.8.0)	2015
sensobol: Computation of Variance-Based Sensitivity Indices (Version 1.1.5)	2019
spsh: Estimation and Prediction of Parameters of Various Soil Hydraulic Property Models (Version 1.1.0)	2019
tools4uplift: Tools for Uplift Modeling (Version 1.0.0)	2019
tramnet: Penalized Transformation Models (Version 0.0-8)	2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.4)	2019
vdg: Variance Dispersion Graphs and Fraction of Design Space Plots (Version 1.2.3)	2014
yager: Yet Another General Regression Neural Network (Version 0.1.1)	2020

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