fANCOVA: Nonparametric Analysis of Covariance

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

Xiaofeng Wang • Xinge Ji • View description and downloads View dependencies GitHub project

2010 Published

0.6-1 Version

0 Citations

2 Authors

Referenced by ⇅	Year
psre: Presenting Statistical Results Effectively (Version 0.1.2)	2022
NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition (Version 1.18)	2013
WaverideR: Extracting Signals from Wavelet Spectra (Version 0.3.2)	2023
audrex: Automatic Dynamic Regression using Extreme Gradient Boosting (Version 2.0.1)	2021
codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow (Version 1.0.0)	2022
cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks (Version 1.1.2)	2018
decisionSupport: Quantitative Support of Decision Making under Uncertainty (Version 1.114)	2015
dymo: Dynamic Mode Decomposition for Multivariate Time Feature Prediction (Version 1.1.0)	2022
jenga: Fast Extrapolation of Time Features using K-Nearest Neighbors (Version 1.3.0)	2021
lambdaTS: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis (Version 1.1)	2021
naive: Empirical Extrapolation of Time Feature Patterns (Version 1.2.3)	2022
ontophylo: Ontology-Informed Phylogenetic Comparative Analyses (Version 1.1.3)	2023
pathviewr: Wrangle, Analyze, and Visualize Animal Movement Data (Version 1.1.7)	2021
proteus: Multiform Seq2Seq Model for Time-Feature Analysis (Version 1.1.4)	2021
segen: Sequence Generalization Through Similarity Network (Version 1.1.0)	2022
spooky: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling (Version 1.4.0)	2022
tetragon: Automatic Sequence Prediction by Expansion of the Distance Matrix (Version 1.3.0)	2021

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.