R-universe search: exports:unfold

Showing 14 of total 14 results (show query)

huizezhang-sherry

cubble:A Vector Spatio-Temporal Data Structure for Data Analysis

A spatiotemperal data object in a relational data structure to separate the recording of time variant/ invariant variables. See the Journal of Statistical Software reference: <doi:10.18637/jss.v110.i07>.

Maintained by H. Sherry Zhang. Last updated 6 months ago.

57 stars 9.07 score 83 scripts

rikenbit

rTensor:Tools for Tensor Analysis and Decomposition

A set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hadamard product for a list of matrices.

Maintained by Koki Tsuyuzaki. Last updated 2 years ago.

6 stars 7.65 score 278 scripts 30 dependents

cysouw

qlcMatrix:Utility Sparse Matrix Functions for Quantitative Language Comparison

Extension of the functionality of the 'Matrix' package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.

Maintained by Michael Cysouw. Last updated 9 months ago.

6 stars 7.00 score 256 scripts 1 dependents

chengvt

EEM:Read and Preprocess Fluorescence Excitation-Emission Matrix (EEM) Data

Read raw EEM data and prepares them for further analysis.

Maintained by Vipavee Trivittayasil. Last updated 8 years ago.

8 stars 6.72 score 66 scripts

astamm

roahd:Robust Analysis of High Dimensional Data

A collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the 'roahd' package. See Aleman-Gomez et al. (2021) <arXiv:2103.08874> for details about the concept of depthgram.

Maintained by Aymeric Stamm. Last updated 3 years ago.

2 stars 6.29 score 164 scripts 2 dependents

great-northern-diver

zenplots:Zigzag Expanded Navigation Plots

Graphical tools for visualizing high-dimensional data along a path of alternating one- and two-dimensional plots. Note that this includes interactive graphics plots based on 'loon' in turn based on 'tcltk' (included as part of the standard R distribution). It also requires 'graph' from Bioconductor. For more detail on use and algorithms, see <doi:10.18637/jss.v095.i04>.

Maintained by Wayne Oldford. Last updated 1 years ago.

dimensional-data dimensional-plots graphical-systems pairs zigzag

4 stars 5.46 score 12 scripts 1 dependents

bioc

DelayedTensor:R package for sparse and out-of-core arithmetic and decomposition of Tensor

DelayedTensor operates Tensor arithmetic directly on DelayedArray object. DelayedTensor provides some generic function related to Tensor arithmetic/decompotision and dispatches it on the DelayedArray class. DelayedTensor also suppors Tensor contraction by einsum function, which is inspired by numpy einsum.

Maintained by Koki Tsuyuzaki. Last updated 5 months ago.

software infrastructure datarepresentation dimensionreduction

4 stars 4.68 score 3 scripts

valentint

rrcov3way:Robust Methods for Multiway Data Analysis, Applicable also for Compositional Data

Provides methods for multiway data analysis by means of Parafac and Tucker 3 models. Robust versions (Engelen and Hubert (2011) <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et al. (2018) <doi:10.1080/02664763.2017.1381669>). Several optimization methods alternative to ALS are available (Simonacci and Gallo (2019) <doi:10.1016/j.chemolab.2019.103822>, Simonacci and Gallo (2020) <doi:10.1007/s00500-019-04320-9>).

Maintained by Valentin Todorov. Last updated 1 years ago.

4.28 score 38 scripts

zerokgkg1368

tensorMiss:Handle Missing Tensor Data with C++ Integration

To handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.

Maintained by Zetai Cen. Last updated 12 months ago.

cpp

3.08 score 2 dependents

melff

munfold:Metric Unfolding

Multidimensional unfolding using Schoenemann's algorithm for metric and Procrustes rotation of unfolding results.

Maintained by Martin Elff. Last updated 1 years ago.

1 stars 2.70 score 2 scripts

cran

simuclustfactor:Simultaneous Clustering and Factorial Decomposition of Three-Way Datasets

Implements two iterative techniques called T3Clus and 3Fkmeans, aimed at simultaneously clustering objects and a factorial dimensionality reduction of variables and occasions on three-mode datasets developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Also, we provide a convex combination of these two simultaneous procedures called CT3Clus and based on a hyperparameter alpha (alpha in [0,1], with 3FKMeans for alpha=0 and T3Clus for alpha= 1) also developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Furthermore, we implemented the traditional tandem procedures of T3Clus (TWCFTA) and 3FKMeans (TWFCTA) for sequential clustering-factorial decomposition (TWCFTA), and vice-versa (TWFCTA) proposed by P. Arabie and L. Hubert (1996) <doi:10.1007/978-3-642-79999-0_1>.

Maintained by Prosper Ablordeppey. Last updated 2 years ago.

1.70 score

jhu267

tensorregress:Supervised Tensor Decomposition with Side Information

Implement the alternating algorithm for supervised tensor decomposition with interactive side information. Details can be found in the publication Hu, Jiaxin, Chanwoo Lee, and Miaoyan Wang. "Generalized Tensor Decomposition with features on multiple modes." Journal of Computational and Graphical Statistics, Vol. 31, No. 1, 204-218, 2022 <doi:10.1080/10618600.2021.1978471>.

Maintained by Jiaxin Hu. Last updated 2 years ago.

1.52 score 11 scripts 1 dependents

john-d-fox

RcmdrPlugin.survival:R Commander Plug-in for the 'survival' Package

An R Commander plug-in for the survival package, with dialogs for Cox models, parametric survival regression models, estimation of survival curves, and testing for differences in survival curves, along with data-management facilities and a variety of tests, diagnostics and graphs.

Maintained by John Fox. Last updated 2 years ago.

1.15 score 3 scripts

jhu267

dTBM:Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models

Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.

Maintained by Jiaxin Hu. Last updated 2 years ago.

1.00 score