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
ecohealthalliance/fasterize
High performance raster conversion for modern spatial data 🚀🌏▦
NorskRegnesentral/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
olmallet81/URT
Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
RUrlus/carma
Converters between Armadillo matrices (C++) and Numpy arrays using Pybind11
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
mlampros/ClusterR
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
mlampros/OpenImageR
Image processing Toolkit in R
benjamin-allevius/scanstatistics
An R package for space-time anomaly detection using scan statistics.
ankargren/mfbvar
R package for Mixed-Frequency Bayesian VARs
mlampros/textTinyR
Text Processing for Small or Big Data Files in R
coatless-rpkg/rcppensmallen
Rcpp integration for the Ensmallen templated C++ mathematical optimization library
rdrr1990/bigKRLS
Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:
egpivo/SpatPCA
R Package: Regularized Principal Component Analysis for Spatial Data
mlampros/KernelKnn
Kernel k Nearest Neighbors in R
Polkas/miceFast
R enviroment - fast imputations :dragon:
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.
mlampros/elmNNRcpp
Extreme Learning Machine using RcppArmadillo
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>.
jmgirard/circumplex
R Package for the Analysis and Visualization of Circumplex Data
mgaynor1/nQuack
An R package for predicting ploidal level from sequence data using site-based heterozygosity
bdilday/mnre
multinomial random effects
mlampros/VMDecomp
R package for 'Variational Mode Decomposition' (1- and 2-dimensional)
samabs/conliga
Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
a91quaini/intrinsicFRP
An R package for Factor Model Asset Pricing
tmsalab/hmcdm
R package for fitting hidden Markov cognitive diagnosis models for learning.
USCbiostats/aphylo
Statistical inference of genetic functions in phylogenetic trees
egpivo/SpatMCA
R Package: Regularized Spatial Maximum Covariance Analysis
coatless-rpkg/rgen
Random generation library for distributions
GediminasB/fls
Time-Varying linear regression via flexible least squares
mlampros/fastGLCM
GLCM Texture Features
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.
Konrad1991/paropt
The R package paropt is build in order to optimize parameters of ode-systems.
QMUL/poLCAParallel
C++ Implementation of poLCA (R package)