R Package Scholar
23,733
Referenced by ⇅ Year
PCRedux: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit (Version 1.1-2)

2017
FADPclust: Functional Data Clustering Using Adaptive Density Peak Detection (Version 1.1.1)

2021
FiSh: Fisher-Shannon Method (Version 1.1)

2019
FuncNN: Functional Neural Networks (Version 1.0)

2020
GET: Global Envelopes (Version 1.0-3)

2019
GPFDA: Gaussian Process for Functional Data Analysis (Version 3.1.3)

2013
ILS: Interlaboratory Study (Version 0.3)

2016
SpatFD: Functional Geostatistics: Univariate and Multivariate Functional Spatial Prediction (Version 0.0.1)

2024
TFunHDDC: Clustering of Functional Data via Mixtures of t-Distributions (Version 1.0.1)

2023
biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data (Version 1.0)

2022
etree: Classification and Regression with Structured and Mixed-Type Data (Version 0.1.0)

2022
funcharts: Functional Control Charts (Version 1.5.0)

2021
goffda: Goodness-of-Fit Tests for Functional Data (Version 0.1.2)

2019
logitFD: Functional Principal Components Logistic Regression (Version 1.0)

2022
longsurr: Longitudinal Surrogate Marker Analysis (Version 1.0)

2022
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)

2022
mlr: Machine Learning in R (Version 2.19.2)

2013
photobiologyInOut: Read Spectral and Logged Data from Foreign Files (Version 0.4.27)

2016
puls: Partitioning Using Local Subregions (Version 0.1.2)

2020
qcr: Quality Control Review (Version 1.4)

2014
robflreg: Robust Functional Linear Regression (Version 1.2)

2022
rofanova: Robust Functional Analysis of Variance (Version 1.0.0)

2022
slasso: S-LASSO Estimator for the Function-on-Function Linear Regression (Version 1.0.0)

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.

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