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Title: GitHub - emanuelhuber/GauProMod: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen). · GitHub

Open Graph Title: GitHub - emanuelhuber/GauProMod: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).

X Title: GitHub - emanuelhuber/GauProMod: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).

Description: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen). - emanuelhuber/GauProMod

Open Graph Description: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen). - emanuelhuber/GauProMod

X Description: Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen). - emanuelhuber/GauProMod

Mail addresses
emanuel.huber@alumni.ethz.ch

Opengraph URL: https://github.com/emanuelhuber/GauProMod

X: @github

direct link

Domain: github.com

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og:image:altSoftware package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen). - emanuelhuber/GauProMod
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40 Commitshttps://github.com/emanuelhuber/GauProMod/commits/master/
https://github.com/emanuelhuber/GauProMod/commits/master/
Rhttps://github.com/emanuelhuber/GauProMod/tree/master/R
Rhttps://github.com/emanuelhuber/GauProMod/tree/master/R
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testhttps://github.com/emanuelhuber/GauProMod/tree/master/test
DESCRIPTIONhttps://github.com/emanuelhuber/GauProMod/blob/master/DESCRIPTION
DESCRIPTIONhttps://github.com/emanuelhuber/GauProMod/blob/master/DESCRIPTION
GauProMod.pdfhttps://github.com/emanuelhuber/GauProMod/blob/master/GauProMod.pdf
GauProMod.pdfhttps://github.com/emanuelhuber/GauProMod/blob/master/GauProMod.pdf
NAMESPACEhttps://github.com/emanuelhuber/GauProMod/blob/master/NAMESPACE
NAMESPACEhttps://github.com/emanuelhuber/GauProMod/blob/master/NAMESPACE
README.Rmdhttps://github.com/emanuelhuber/GauProMod/blob/master/README.Rmd
README.Rmdhttps://github.com/emanuelhuber/GauProMod/blob/master/README.Rmd
README.mdhttps://github.com/emanuelhuber/GauProMod/blob/master/README.md
README.mdhttps://github.com/emanuelhuber/GauProMod/blob/master/README.md
READMEhttps://github.com/emanuelhuber/GauProMod
https://github.com/emanuelhuber/GauProMod#gaupromod
https://github.com/emanuelhuber/GauProMod#notes
https://github.com/emanuelhuber/GauProMod#how-to-installload
https://github.com/emanuelhuber/GauProMod#short-tutorial
https://github.com/emanuelhuber/GauProMod#load-libraries
https://github.com/emanuelhuber/GauProMod#1d-gaussian-process-modelling
https://github.com/emanuelhuber/GauProMod#observations-and-target
https://github.com/emanuelhuber/GauProMod#covariance-function-mean-function-and-likelihood
https://github.com/emanuelhuber/GauProMod#covariance-as-a-function-of-distance
https://github.com/emanuelhuber/GauProMod/blob/master/inst/plotCov-1.png
https://github.com/emanuelhuber/GauProMod#conditional-gaussian-process-modelling
https://github.com/emanuelhuber/GauProMod/blob/master/inst/mean1D-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/plotrandom1D-1.png
https://github.com/emanuelhuber/GauProMod#conditional-gaussian-process-modelling-with-derivatives
https://github.com/emanuelhuber/GauProMod/blob/master/inst/gpCond1D_deriv-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/gpCond1D_deriv-2.png
https://github.com/emanuelhuber/GauProMod#gaussian-process-modelling-with-two-dimensional-positions
https://github.com/emanuelhuber/GauProMod#observations-and-target-1
https://github.com/emanuelhuber/GauProMod#covariance-function-mean-function-and-likelihood-1
https://github.com/emanuelhuber/GauProMod#conditional-gaussian-process-modelling-1
https://github.com/emanuelhuber/GauProMod#results
https://github.com/emanuelhuber/GauProMod/blob/master/inst/3Dplot-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/plot2D-1.png
https://github.com/emanuelhuber/GauProMod#random-conditional-simulation
https://github.com/emanuelhuber/GauProMod/blob/master/inst/chol2D-1.png
https://github.com/emanuelhuber/GauProMod#2d-gaussian-process-modelling-simulation-on-a-2d-mesh
https://github.com/emanuelhuber/GauProMod#observations-and-target-2
https://github.com/emanuelhuber/GauProMod#covariance-function-mean-function-and-likelihood-2
https://github.com/emanuelhuber/GauProMod#conditional-gaussian-process-modelling-2
https://github.com/emanuelhuber/GauProMod/blob/master/inst/meanGrid-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/cholgrid-1.png
https://github.com/emanuelhuber/GauProMod#anisotropy-scaling-only-along-the-coordinates-axes
https://github.com/emanuelhuber/GauProMod/blob/master/inst/meanani-1.png
https://github.com/emanuelhuber/GauProMod#anisotropy-scaling-and-rotation-along-the-coordinates-axes
https://github.com/emanuelhuber/GauProMod/blob/master/inst/plotani2-1.png
https://github.com/emanuelhuber/GauProMod#gaussian-process-with-derivative-constraints
https://github.com/emanuelhuber/GauProMod/blob/master/inst/gp_deriv-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/deriv2-1.png
https://github.com/emanuelhuber/GauProMod#space-time-gaussian-process-modelling
https://github.com/emanuelhuber/GauProMod#observations-and-target-3
https://github.com/emanuelhuber/GauProMod#covariance-function-mean-function-and-likelihood-3
https://github.com/emanuelhuber/GauProMod#conditional-gaussian-process-modelling-3
https://github.com/emanuelhuber/GauProMod/blob/master/inst/meanst-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/meanst-2.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/cholst-1.png
https://github.com/emanuelhuber/GauProMod/blob/master/inst/ts_st-1.png
https://github.com/emanuelhuber/GauProMod#references
www.GaussianProcess.org/gpmlhttp://www.GaussianProcess.org/gpml
https://github.com/emanuelhuber/GauProMod#notes-1
https://github.com/emanuelhuber/GauProMod#1-cauchy-kernel-formula
https://github.com/emanuelhuber/GauProMod#2-derivative-analysis
https://github.com/emanuelhuber/GauProMod#case-d0-kernel-k
https://github.com/emanuelhuber/GauProMod#case-d1-weighted-first-derivative-w-cdot--fracdkdr
https://github.com/emanuelhuber/GauProMod#case-d2-negative-second-derivative--fracd2kdr2
https://github.com/emanuelhuber/GauProMod#3-implementation-details
https://github.com/emanuelhuber/GauProMod#-the-gamma-function-gammanu
https://github.com/emanuelhuber/GauProMod#️-the-modified-bessel-function-k_nuu
https://github.com/emanuelhuber/GauProMod#summary-of-nus-effect
https://github.com/emanuelhuber/GauProMod#1️⃣-the-setup
https://github.com/emanuelhuber/GauProMod#2️⃣-derivative-of-distance
https://github.com/emanuelhuber/GauProMod#3️⃣-combine-chain-rule
https://github.com/emanuelhuber/GauProMod#4️⃣-introducing-the-weight-w
https://github.com/emanuelhuber/GauProMod#5️⃣-summary-intuition
https://github.com/emanuelhuber/GauProMod#first-derivative-krdfracddrkr
https://github.com/emanuelhuber/GauProMod#second-derivative-krdfracd2dr2kr
https://github.com/emanuelhuber/GauProMod#useful-relations--alternate-forms
https://github.com/emanuelhuber/GauProMod#nutfrac12--exponential-kernel
https://github.com/emanuelhuber/GauProMod#nutfrac32
https://github.com/emanuelhuber/GauProMod#nutfrac52
emanuelhuber.github.io/GauProModhttp://emanuelhuber.github.io/GauProMod
interpolation https://github.com/topics/interpolation
derivative https://github.com/topics/derivative
gaussian-processes https://github.com/topics/gaussian-processes
covariance-functions https://github.com/topics/covariance-functions
space-time https://github.com/topics/space-time
kriging https://github.com/topics/kriging
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R 51.9% https://github.com/emanuelhuber/GauProMod/search?l=r
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