mc2d: Tools for Two-Dimensional Monte-Carlo Simulations

Canonical link: https://scholar.rpkg.net/pkg/mc2d

Regis Pouillot • Marie-Laure Delignette-Muller • Jean-Baptiste Denis • Yu Chen • Arie Havelaar • View description and downloads View dependencies GitHub project

2009 Published

0.2.0 Version

0 Citations

5 Authors

Referenced by ⇅	Year
hierarchicalDS: Functions to Perform Hierarchical Analysis of Distance Sampling Data (Version 3.0)	2012
PAMA: Rank Aggregation with Partition Mallows Model (Version 1.2.0)	2020
AnnuityRIR: Annuity Random Interest Rates (Version 1.0-0)	2017
CPP: Composition of Probabilistic Preferences (CPP) (Version 0.1.0)	2018
CloneSeeker: Seeking and Finding Clones in Copy Number and Sequencing Data (Version 1.0.11)	2019
CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies (Version 1.6.2)	2015
OSCV: One-Sided Cross-Validation (Version 1.0)	2017
RSurveillance: Design and Analysis of Disease Surveillance Activities (Version 0.2.1)	2014
Umpire: Simulating Realistic Gene Expression and Clinical Data (Version 2.0.10)	2017
decisionSupport: Quantitative Support of Decision Making under Uncertainty (Version 1.114)	2015
fitdistrplus: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data (Version 1.1-11)	2009
fitteR: Fit Hundreds of Theoretical Distributions to Empirical Data (Version 0.2.0)	2017
handwriter: Handwriting Analysis in R (Version 3.0.0)	2021
iCARH: Integrative Conditional Autoregressive Horseshoe Model (Version 2.0.2.1)	2019
rriskDistributions: Fitting Distributions to Given Data or Known Quantiles (Version 2.1.2)	2012
sensitivity: Global Sensitivity Analysis of Model Outputs and Importance Measures (Version 1.30.0)	2006
stratifyR: Optimal Stratification of Univariate Populations (Version 1.0-3)	2018

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.