rcpparmadillo

There are 77 repositories under rcpparmadillo topic.

  • conradsnicta/armadillo-code

    Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

  • RcppCore/RcppArmadillo

    Rcpp integration for the Armadillo templated linear algebra library

    Language:C++2051820556
  • hypertidy/fasterize

    High performance raster conversion for modern spatial data 🚀🌏▦

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  • NorskRegnesentral/shapr

    Explaining the output of machine learning models with more accurately estimated Shapley values

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  • carma

    RUrlus/carma

    Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11

    Language:C++10016327
  • olmallet81/URT

    Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python

    Language:C++924925
  • mlampros/ClusterR

    Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

    Language:R8555129
  • catavallejos/BASiCS

    BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version

    Language:R83517017
  • mlampros/OpenImageR

    Image processing Toolkit in R

    Language:R6152711
  • benjamin-allevius/scanstatistics

    An R package for space-time anomaly detection using scan statistics.

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  • ankargren/mfbvar

    R package for Mixed-Frequency Bayesian VARs

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  • mlampros/textTinyR

    Text Processing for Small or Big Data Files in R

    Language:R3910118
  • coatless-rpkg/rcppensmallen

    Rcpp integration for the Ensmallen templated C++ mathematical optimization library

    Language:C++322133
  • rdrr1990/bigKRLS

    Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:

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  • egpivo/SpatPCA

    R Package: Regularized Principal Component Analysis for Spatial Data

    Language:R20121
  • Polkas/miceFast

    R enviroment - fast imputations :dragon:

    Language:R192172
  • mlampros/KernelKnn

    Kernel k Nearest Neighbors in R

    Language:R17485
  • mgaynor1/nQuack

    An R package for predicting ploidal level from sequence data using site-based heterozygosity 

    Language:C++15170
  • SMAC-Group/simts

    :hourglass_flowing_sand: Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.

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  • mlampros/elmNNRcpp

    Extreme Learning Machine using RcppArmadillo

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  • tmsalab/dina

    Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

    Language:C++14335
  • jmgirard/circumplex

    R Package for the Analysis and Visualization of Circumplex Data

    Language:R112156
  • bdilday/mnre

    multinomial random effects

    Language:C++10140
  • samabs/conliga

    Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)

    Language:C++9302
  • mlampros/VMDecomp

    R package for 'Variational Mode Decomposition' (1- and 2-dimensional)

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  • a91quaini/intrinsicFRP

    An R package for Factor Model Asset Pricing

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  • tmsalab/hmcdm

    R package for fitting hidden Markov cognitive diagnosis models for learning.

    Language:C++7117
  • USCbiostats/aphylo

    Statistical inference of genetic functions in phylogenetic trees

    Language:R60152
  • egpivo/SpatMCA

    R Package: Regularized Spatial Maximum Covariance Analysis

    Language:C++5101
  • mlampros/fastGLCM

    GLCM Texture Features

    Language:R5201
  • coatless-rpkg/rgen

    Random generation library for distributions

    Language:C4270
  • GediminasB/fls

    Time-Varying linear regression via flexible least squares

    Language:R4203
  • tmsalab/cIRT

    Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.

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  • Konrad1991/paropt

    The R package paropt is build in order to optimize parameters of ode-systems.

    Language:C3322
  • QMUL/poLCAParallel

    C++ Implementation of poLCA (R package)

    Language:C++3100