ppcor: Partial and Semi-Partial (Part) Correlation

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

Seongho Kim • View description and downloads View dependencies GitHub project

2012 Published

1.1 Version

0 Citations

1 Authors

Referenced by ⇅	Year
CoNI: Correlation Guided Network Integration (CoNI) (Version 0.1.0)	2021
Conigrave: Flexible Tools for Multiple Imputation (Version 0.4.4)	2016
HelpersMG: Tools for Environmental Analyses, Ecotoxicology and Various R Functions (Version 6.3)	2015
NetCoupler: Inference of Causal Links Between a Network and an External Variable (Version 0.1.0)	2022
NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis (Version 1.4.2)	2017
PHENIX: Phenotypic Integration Index (Version 1.3.1)	2014
TIGERr: Technical Variation Elimination with Ensemble Learning Architecture (Version 1.0.0)	2021
UCSCXenaShiny: Interactive Analysis of UCSC Xena Data (Version 2.1.0)	2019
bigstatsr: Statistical Tools for Filebacked Big Matrices (Version 1.6.1)	2017
correlation: Methods for Correlation Analysis (Version 0.8.6)	2020
corx: Create and Format Correlation Matrices (Version 1.0.7.2)	2019
dCUR: Dimension Reduction with Dynamic CUR (Version 1.0.1)	2020
ggiraphExtra: Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph' (Version 0.3.0)	2016
miic: Learning Causal or Non-Causal Graphical Models Using Information Theory (Version 2.0.3)	2017
nda: Generalized Network-Based Dimensionality Reduction and Analysis (Version 0.1.15)	2022
noisysbmGGM: Noisy Stochastic Block Model for GGM Inference (Version 0.1.2.3)	2024
portvine: Vine Based (Un)Conditional Portfolio Risk Measure Estimation (Version 1.0.3)	2022
zeroEQpart: Zero Order vs (Semi) Partial Correlation Test and CI (Version 0.1.0)	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.