R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
GPM
View on CRAN: Click
here
Download and install GPM package within the R console
Install from CRAN:
install.packages("GPM")
Install from Github:
library("remotes")
install_github("cran/GPM")
Install by package version:
library("remotes")
install_version("GPM", "3.0.1")
Attach the package and use:
library("GPM")
Maintained by
Ramin Bostanabad
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2019-03-21
Description:
Provides a general and efficient tool for fitting a response surface to a dataset via Gaussian processes. The dataset can have multiple responses and be noisy (with stationary variance). The fitted GP model can predict the gradient as well. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering, 114, 501-516.
How to cite:
Ramin Bostanabad (2018). GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets. R package version 3.0.1, https://cran.r-project.org/web/packages/GPM. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited GPM R package
View GPM citation profile
Other R packages that GPM depends,
imports, suggests or enhances
Complete documentation for GPM
Functions, R codes and Examples using
the GPM R package
Some associated functions: Auxil . CorrMat . Draw . Fit . MatrixAlgebra . NLogL . NLogL_G . Predict .
Some associated R codes: Auxil.R . Draw.R . Fit.R . NLogL.R . NLogL_G.R . Predict.R . RcppExports.R . Full GPM package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
gglgbtq
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laura Bakala (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
landmix
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Layla Parast (view profile)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
