R Package Scholar
16,983
Referenced by ⇅ Year
minimaxdesign: Minimax and Minimax Projection Designs (Version 0.1.5)

2016
yap: Yet Another Probabilistic Neural Network (Version 0.1.1)

2020
cooltools: Practical Tools for Scientific Computations and Visualizations (Version 2.1.27)

2022
mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs (Version 1.1.0)

2022
BLPestimatoR: Performs a BLP Demand Estimation (Version 0.3.4)

2017
DEBBI: Differential Evolution-Based Bayesian Inference (Version 0.1.0)

2022
DiceDesign: Designs of Computer Experiments (Version 1.10)

2010
DiceOptim: Kriging-Based Optimization for Computer Experiments (Version 2.1.1)

2010
FlexVarJM: Estimate Joint Models with Subject-Specific Variance (Version 0.1.0)

2023
GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets (Version 3.0.1)

2018
GPareto: Gaussian Processes for Pareto Front Estimation and Optimization (Version 1.1.8)

2014
JLPM: Joint Latent Process Models (Version 1.0.2)

2022
KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments (Version 1.4.2)

2011
LSDsensitivity: Sensitivity Analysis Tools for LSD Simulations (Version 1.2.3)

2017
LVGP: Latent Variable Gaussian Process Modeling with Qualitative and Quantitative Input Variables (Version 2.1.5)

2018
MBHdesign: Spatial Designs for Ecological and Environmental Surveys (Version 2.3.15)

2016
MMDCopula: Robust Estimation of Copulas by Maximum Mean Discrepancy (Version 0.2.1)

2020
MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach (Version 0.6)

2017
MaOEA: Many Objective Evolutionary Algorithm (Version 0.6.2)

2019
PKPDsim: Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations (Version 1.3.0)

2022
TAG: Transformed Additive Gaussian Processes (Version 0.5.1)

2019
TruncatedNormal: Truncated Multivariate Normal and Student Distributions (Version 2.2.2)

2015
acebayes: Optimal Bayesian Experimental Design using the ACE Algorithm (Version 1.10)

2016
apollo: Tools for Choice Model Estimation and Application (Version 0.3.2)

2019
calibrateBinary: Calibration for Computer Experiments with Binary Responses (Version 0.1)

2018
cbcTools: Choice-Based Conjoint Experiment Design Generation and Power Evaluation in R (Version 0.5.0)

2023
cepp: Context Driven Exploratory Projection Pursuit (Version 1.7)

2012
copBasic: General Bivariate Copula Theory and Many Utility Functions (Version 2.2.4)

2011
copula: Multivariate Dependence with Copulas (Version 1.1-3)

2005
iterLap: Approximate Probability Densities by Iterated Laplace Approximations (Version 1.1-4)

2011
joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes (Version 0.4.6)

2016
kde1d: Univariate Kernel Density Estimation (Version 1.0.7)

2018
lcmm: Extended Mixed Models Using Latent Classes and Latent Processes (Version 2.1.0)

2010
logitr: Logit Models w/Preference & WTP Space Utility Parameterizations (Version 1.1.1)

2021
merlin: Mixed Effects Regression for Linear, Non-Linear and User-Defined Models (Version 0.1.0)

2018
midasml: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data (Version 0.1.10)

2020
mixl: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets (Version 1.3.4)

2020
multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data (Version 0.6.1)

2020
optim.functions: Standard Benchmark Optimization Functions (Version 0.1)

2017
pGPx: Pseudo-Realizations for Gaussian Process Excursions (Version 0.1.4)

2018
qrng: (Randomized) Quasi-Random Number Generators (Version 0.0-10)

2015
qualpalr: Automatic Generation of Qualitative Color Palettes (Version 0.4.4)

2016
sensitivity: Global Sensitivity Analysis of Model Outputs and Importance Measures (Version 1.30.0)

2006
sensobol: Computation of Variance-Based Sensitivity Indices (Version 1.1.5)

2019
sfaR: Stochastic Frontier Analysis Routines (Version 1.0.0)

2021
spdesign: Designing Stated Preference Experiments (Version 0.0.3)

2023
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.

rpkg.net © 2022 - 2024 Obi Obianom