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
spatialRF
View on CRAN: Click
here
Download and install spatialRF package within the R console
Install from CRAN:
install.packages("spatialRF")
Install from Github:
library("remotes")
install_github("cran/spatialRF")
Install by package version:
library("remotes")
install_version("spatialRF", "1.1.4")
Attach the package and use:
library("spatialRF")
Maintained by
Blas M. Benito
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-23
Latest Update: 2022-08-19
Description:
Automatic generation and selection of spatial predictors for spatial regression with Random Forest. Spatial predictors are surrogates of variables driving the spatial structure of a response variable. The package offers two methods to generate spatial predictors from a distance matrix among training cases: 1) Moran's Eigenvector Maps (MEMs; Dray, Legendre, and Peres-Neto 2006 <doi:10.1016/j.ecolmodel.2006.02.015>): computed as the eigenvectors of a weighted matrix of distances; 2) RFsp (Hengl et al. <doi:10.7717/peerj.5518>): columns of the distance matrix used as spatial predictors. Spatial predictors help minimize the spatial autocorrelation of the model residuals and facilitate an honest assessment of the importance scores of the non-spatial predictors. Additionally, functions to reduce multicollinearity, identify relevant variable interactions, tune random forest hyperparameters, assess model transferability via spatial cross-validation, and explore model results via partial dependence curves and interaction surfaces are included in the package. The modelling functions are built around the highly efficient 'ranger' package (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>).
How to cite:
Blas M. Benito (2021). spatialRF: Easy Spatial Modeling with Random Forest. R package version 1.1.4, https://cran.r-project.org/web/packages/spatialRF
Previous versions and publish date:
1.1.3 (2021-09-23 10:30)
Other packages that cited spatialRF R package
View spatialRF citation profile
Other R packages that spatialRF depends,
imports, suggests or enhances
Functions, R codes and Examples using
the spatialRF R package
Some associated functions: auc . auto_cor . auto_vif . beowulf_cluster . case_weights . default_distance_thresholds . distance_matrix . double_center_distance_matrix . filter_spatial_predictors . get_evaluation . get_importance . get_importance_local . get_moran . get_performance . get_predictions . get_residuals . get_response_curves . get_spatial_predictors . is_binary . make_spatial_fold . make_spatial_folds . mem . mem_multithreshold . moran . moran_multithreshold . normality . objects_size . optimization_function . pca . pca_multithreshold . plant_richness_df . plot_evaluation . plot_importance . plot_moran . plot_optimization . plot_residuals_diagnostics . plot_response_curves . plot_response_surface . plot_training_df . plot_training_df_moran . plot_tuning . prepare_importance_spatial . print . print_evaluation . print_importance . print_moran . print_performance . rank_spatial_predictors . rescale_vector . residuals_diagnostics . rf . rf_compare . rf_evaluate . rf_importance . rf_repeat . rf_spatial . rf_tuning . root_mean_squared_error . select_spatial_predictors_recursive . select_spatial_predictors_sequential . standard_error . statistical_mode . the_feature_engineer . thinning . thinning_til_n . vif . weights_from_distance_matrix .
Some associated R codes: auc.R . auto_cor.R . auto_vif.R . beowulf_cluster.R . case_weights.R . default_distance_thresholds.R . distance_matrix.R . double_center_distance_matrix.R . filter_spatial_predictors.R . get_evaluation.R . get_importance.R . get_importance_local.R . get_moran.R . get_performance.R . get_predictions.R . get_residuals.R . get_response_curves.R . get_spatial_predictors.R . is_binary.R . make_spatial_fold.R . make_spatial_folds.R . mem.R . mem_multithreshold.R . moran.R . moran_multithreshold.R . objects_size.R . optimization_function.R . pca.R . pca_multithreshold.R . plant_richness_df.R . plot_evaluation.R . plot_importance.R . plot_moran.R . plot_optimization.R . plot_residuals_diagnostics.R . plot_response_curves.R . plot_response_surface.R . plot_training_df.R . plot_training_df_moran.R . plot_tuning.R . prepare_importance_spatial.R . print.R . print_evaluation.R . print_importance.R . print_moran.R . print_performance.R . rank_spatial_predictors.R . rescale_vector.R . residuals_diagnostics.R . residuals_test.R . rf.R . rf_compare.R . rf_evaluate.R . rf_importance.R . rf_repeat.R . rf_spatial.R . rf_tuning.R . root_mean_squared_error.R . select_spatial_predictors_recursive.R . select_spatial_predictors_sequential.R . standard_error.R . statistical_mode.R . the_feature_engineer.R . thinning.R . thinning_til_n.R . vif.R . weights_from_distance_matrix.R . Full spatialRF package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
multiocc
Spatio-temporal multivariate occupancy models can handle multiple species in occupancy models. This ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Staci Hepler (view profile)
stagePop
Provides facilities to implement and run population models of stage-structured species... ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Nutter (view profile)
gclus
Orders panels in scatterplot matrices and parallel coordinate
displays by some merit index. Package ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Catherine Hurley (view profile)
CompoundEvents
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and q ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Zengchao Hao (view profile)
MatrixEQTL
Matrix eQTL is designed for fast eQTL analysis on large datasets.
Matrix eQTL can test for associat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Andrey A Shabalin (view profile)
22,114
R Packages
188,080
Dependencies
55,244
Author Associations
22,115
Publication Badges
© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns