Alternatives and similar repositories for rssa

Users that are interested in rssa are comparing it to the libraries listed below

• andrewzm / FRK
  Fixed Rank Kriging with big data
  ☆73Updated 2 weeks ago
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆100Updated 4 years ago
• tgouhier / biwavelet
  R package to conduct univariate and bivariate wavelet analyses
  ☆46Updated last year
• choldgraf / makeitpop
  Warp your data like Jet warps your perception
  ☆13Updated last year
• antoinestevens / prospectr
  R package for processing and sample selection for vis-NIR spectral data
  ☆18Updated 5 years ago
• marchtaylor / sinkr
  A collection of functions with emphasis on multivariate methods and handling of geographic datasets
  ☆38Updated 4 months ago
• colemonnahan / gradmcmc
  Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo
  ☆15Updated 8 years ago
• hanase / BMA
  R package for Bayesian model averaging
  ☆40Updated 6 months ago
• jakobrunge / tigramite_old
  Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…
  ☆33Updated 8 years ago
• SMAC-Group / wv
  This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among ot…
  ☆17Updated last year
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• ilarinieminen / SOM-Toolbox
  ☆122Updated 6 years ago
• ProcessMiner / nlcor
  An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptiv…
  ☆19Updated 3 years ago
• fzao / caRamel
  Multi-objective optimization in R
  ☆12Updated last year
• constantino-garcia / nonlinearTseries
  Nonlinear time series analysis in R
  ☆36Updated 10 months ago
• rkillick / changepoint
  A place for the development version of the changepoint package on CRAN.
  ☆136Updated 8 months ago
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆69Updated 7 years ago
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆51Updated last year
• sor16 / bdrc
  Fits a discharge rating curve based on the power-law and the generalized power-law from data on paired water elevation and discharge meas…
  ☆12Updated 7 months ago
• seantalts / simulation-based-calibration
  Repo for code from the SBC paper
  ☆24Updated 6 years ago
• jlmelville / smallvis
  R package for dimensionality reduction of small datasets
  ☆69Updated 7 months ago
• ha0ye / rEDM
  Applications of Empirical Dynamic Modeling from Time Series
  ☆50Updated 4 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• k3jph / cmna-pkg
  Computational Methods for Numerical Analysis
  ☆17Updated last year
• cran / sensitivity
   This is a read-only mirror of the CRAN R package repository. sensitivity — Global Sensitivity Analysis of Model Outputs and Importance …
  ☆17Updated 11 months ago
• mbq / Boruta
  Migrated to GitLab
  ☆19Updated 2 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆63Updated 11 months ago
• aoles / EBImage
  Image processing toolbox for R
  ☆74Updated 9 months ago
• haozhestat / rfinterval
  An R package "rfinterval": Predictive Inference on Random Forests
  ☆13Updated 6 years ago
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆34Updated last week