lhs: Latin Hypercube Samples

Canonical link: https://scholar.rpkg.net/pkg/lhs

Rob Carnell • View description and downloads View dependencies GitHub project

2006 Published

1.1.6 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
poems: Pattern-Oriented Ensemble Modeling System (Version 1.1.0)	2021
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
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 0.1.1)	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
DynamicGP: Modelling and Analysis of Dynamic Computer Experiments (Version 1.1-9)	2018
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 0.2.12)	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 0.1.2)	2023
SOAs: Creation of Stratum Orthogonal Arrays (Version 1.4)	2021
TestFunctions: Test Functions for Simulation Experiments and Evaluating Optimization and Emulation Algorithms (Version 0.2.1)	2016
VeccTMVN: Multivariate Normal Probabilities using Vecchia Approximation (Version 1.0.0)	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 0.2.3)	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
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 1.1.6)	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
maximin: Space-Filling Design under Maximin Distance (Version 1.0-5)	2018
mixopt: Mixed Variable Optimization (Version 0.1.2)	2022
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.2)	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 0.3-3)	2007
optim.functions: Standard Benchmark Optimization Functions (Version 0.1)	2017
paradox: Define and Work with Parameter Spaces for Complex Algorithms (Version 1.0.0)	2019
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)	2015
yager: Yet Another General Regression Neural Network (Version 0.1.1)	2020

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.