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
GWRLASSO
View on CRAN: Click
here
Download and install GWRLASSO package within the R console
Install from CRAN:
install.packages("GWRLASSO")
Install from Github:
library("remotes")
install_github("cran/GWRLASSO")
Install by package version:
library("remotes")
install_version("GWRLASSO", "0.1.0")
Attach the package and use:
library("GWRLASSO")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-28
Latest Update: 2023-08-28
Description:
It implements a hybrid spatial model for improved spatial prediction by combining the variable selection capability of
LASSO (Least Absolute Shrinkage and Selection Operator) with the Geographically Weighted Regression (GWR) model that
captures the spatially varying relationship efficiently. For method details see, Wheeler, D.C.(2009)..
The developed hybrid model efficiently selects the relevant variables by using LASSO as the first step; these selected variables
are then incorporated into the GWR framework, allowing the estimation of spatially varying regression coefficients at unknown locations
and finally predicting the values of the response variable at unknown test locations while taking into account the spatial heterogeneity of the data.
Integrating the LASSO and GWR models enhances prediction accuracy by considering spatial heterogeneity and capturing the local relationships between
the predictors and the response variable. The developed hybrid spatial model can be useful for spatial modeling, especially in scenarios involving complex
spatial patterns and large datasets with multiple predictor variables.
How to cite:
Nobin Chandra Paul (2023). GWRLASSO: A Hybrid Model for Spatial Prediction Through Local Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/GWRLASSO. Accessed 23 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited GWRLASSO R package
View GWRLASSO citation profile
Other R packages that GWRLASSO depends,
imports, suggests or enhances
Complete documentation for GWRLASSO
Functions, R codes and Examples using
the GWRLASSO R package
Full GWRLASSO 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
Simile
Allows a Simile model saved as a compiled binary to be loaded, parameterized, executed and interroga ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jasper Taylor (view profile)
Mondrian
The unique function of this package allows representing in a single graph the relative occurrence an ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Aurélie Siberchicot (view profile)
RH2
DBI/RJDBC interface to h2 database. h2 version 1.3.175 is included. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: "David M. Kaplan" (view profile)
abcADM
Estimate parameters of accumulated damage load duration models based on failure time data under a Ba ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Samuel W.K. Wong (view profile)
triplot
Tools for exploring effects of correlated features in predictive models. The predict_triplot() func ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Katarzyna Pekala (view profile)
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)