Topic: rcpparmadillo Goto Github
Some thing interesting about rcpparmadillo
Some thing interesting about rcpparmadillo
rcpparmadillo,An R package for Factor Model Asset Pricing
User: a91quaini
rcpparmadillo,R package: Computes the solution path of the multivariate Scalar-on-Functional Elastic Net regression in serial and parallel.
User: ali-mahzarnia
rcpparmadillo,R package containing helpful functions for dealing with spatial data and concliques.
User: andeek
rcpparmadillo,R package for Mixed-Frequency Bayesian VARs
User: ankargren
Home Page: https://ankargren.github.io/mfbvar
rcpparmadillo,Template for RcppArmadillo-dependent packages
User: ankargren
rcpparmadillo,Kernel Dimension Reduction with RcppArmadillo
User: aschmu
rcpparmadillo,multinomial random effects
User: bdilday
rcpparmadillo,An R package for space-time anomaly detection using scan statistics.
User: benjamin-allevius
rcpparmadillo,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
User: catavallejos
rcpparmadillo,Rcpp integration for the Ensmallen templated C++ mathematical optimization library
Organization: coatless-rpkg
Home Page: http://r-pkg.thecoatlessprofessor.com/rcppensmallen/
rcpparmadillo,Random generation library for distributions
Organization: coatless-rpkg
Home Page: http://r-pkg.thecoatlessprofessor.com/rgen/
rcpparmadillo,Answers I've given on StackOverflow
User: coatless
rcpparmadillo,Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net
User: conradsnicta
rcpparmadillo,Workshop de Rcpp ministrado em 11/2020
Organization: curso-r
Home Page: https://curso-r.github.io/202011-rcpp/
rcpparmadillo,High performance raster conversion for modern spatial data 🚀🌏▦
Organization: ecohealthalliance
Home Page: https://ecohealthalliance.github.io/fasterize/
rcpparmadillo,R Package: Adaptively weighted group lasso for semiparametic quantile regression models
User: egpivo
Home Page: https://egpivo.github.io/QuantRegGLasso/
rcpparmadillo,R Package: Regularized Spatial Maximum Covariance Analysis
User: egpivo
Home Page: https://egpivo.github.io/SpatMCA
rcpparmadillo,R Package: Regularized Principal Component Analysis for Spatial Data
User: egpivo
Home Page: https://egpivo.github.io/SpatPCA/
rcpparmadillo,Time-Varying linear regression via flexible least squares
User: gediminasb
rcpparmadillo,R Package for the Analysis and Visualization of Circumplex Data
User: jmgirard
Home Page: http://circumplex.jmgirard.com/
rcpparmadillo,The R package paropt is build in order to optimize parameters of ode-systems.
User: konrad1991
rcpparmadillo,Docker image "rocker/r-base" with tidyverse, devtools, Rcpp, RcppArmadillo and dependencies
User: lgaborini
rcpparmadillo,An R package for predicting ploidal level from sequence data using site-based heterozygosity
User: mgaynor1
Home Page: http://mlgaynor.com/nQuack/
rcpparmadillo,Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
User: mlampros
Home Page: https://mlampros.github.io/ClusterR/
rcpparmadillo,Extreme Learning Machine using RcppArmadillo
User: mlampros
Home Page: https://mlampros.github.io/elmNNRcpp/
rcpparmadillo,GLCM Texture Features
User: mlampros
Home Page: https://mlampros.github.io/fastGLCM/
rcpparmadillo,Kernel k Nearest Neighbors in R
User: mlampros
Home Page: https://mlampros.github.io/KernelKnn/
rcpparmadillo,Image processing Toolkit in R
User: mlampros
Home Page: https://mlampros.github.io/OpenImageR/
rcpparmadillo,Text Processing for Small or Big Data Files in R
User: mlampros
Home Page: https://mlampros.github.io/textTinyR/
rcpparmadillo,R package for 'Variational Mode Decomposition' (1- and 2-dimensional)
User: mlampros
Home Page: https://mlampros.github.io/VMDecomp/
rcpparmadillo,Explaining the output of machine learning models with more accurately estimated Shapley values
Organization: norskregnesentral
Home Page: https://norskregnesentral.github.io/shapr/
rcpparmadillo,fitting multievent capture-recapture model with Rcpp
User: oliviergimenez
rcpparmadillo,Fast Unit Root Tests and OLS regression in C++ with wrappers for R and Python
User: olmallet81
rcpparmadillo,R enviroment - fast imputations :dragon:
User: polkas
Home Page: https://polkas.github.io/miceFast/
rcpparmadillo,R package for residualizing covariates
User: ppanko
rcpparmadillo,Rcpp integration for the Armadillo templated linear algebra library
Organization: rcppcore
rcpparmadillo,Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:
User: rdrr1990
Home Page: https://sites.google.com/site/petemohanty/software
rcpparmadillo,Probabilistic inference of somatic copy number alterations using repeat DNA (FAST-SeqS)
User: samabs
rcpparmadillo,:hourglass_flowing_sand: Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
Organization: smac-group
Home Page: https://smac-group.github.io/simts/index.html
rcpparmadillo,An R wrapper for the optimlib library
Organization: stateofther
rcpparmadillo,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.
Organization: tmsalab
Home Page: https://tmsalab.github.io/cIRT
rcpparmadillo,Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.
Organization: tmsalab
Home Page: https://tmsalab.github.io/dina
rcpparmadillo,Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>
Organization: tmsalab
Home Page: https://tmsalab.github.io/edina
rcpparmadillo,Modeling framework for Exploratory Diagnostic Models (EDM)
Organization: tmsalab
Home Page: https://tmsalab.github.io/edm
rcpparmadillo,Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.
Organization: tmsalab
Home Page: http://tmsalab.github.io/fourPNO
rcpparmadillo,R package for fitting hidden Markov cognitive diagnosis models for learning.
Organization: tmsalab
Home Page: https://tmsalab.github.io/hmcdm
rcpparmadillo,A function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.
Organization: tmsalab
Home Page: https://tmsalab.github.io/iccbeta
rcpparmadillo,Statistical inference of genetic functions in phylogenetic trees
Organization: uscbiostats
Home Page: https://uscbiostats.github.io/aphylo
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