Learn R Programming
⚠️There's a newer version (1.3.2) of this package.Take me there.

mgwrsar (version 0.1)

GWR and MGWR with Spatial Autocorrelation

Description

Functions for computing (Mixed) Geographycally Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) .

Copy Link

Version

Install

install.packages('mgwrsar')

Monthly Downloads

461

Version

0.1

License

GPL (>= 2)

Maintainer

Ghislain Geniaux

Last Published

May 11th, 2018

Functions in mgwrsar (0.1)

GDXC5

Title GDXC5 to be documented
QRcpp2_C

QRcpp2_C to be documented
GDTX

GDTX to be documented
GDTXC

GDTXC to be documented
MGWR

MGWR to be documented
bias_gwrsar

bias_gwrsar to be documented
MGWRSAR

Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
KNN

A function that returns a row normalized weight matrix based on k first neighbors, to be documented
Proj_C

Proj_C to be documented
PhWY_C

PhWY_C to be documented
GWR

GWR to be documented
GPKj

GPKj to be documented
bin_C

bin_C to be documented
SSR

SSR to be documented
SARHS

SARHS to be documented
fastlmLLT_C

fastlmLLT_C to be documented
Tf

Asymptotic test for mgwrsar models using Sidak correction, EXPERIMENTAL (alpha=0.05 percent)
KNNX

KNNX to be documented
GDTXX

GDTXX to be documented
bisq_knn_C

Adaptive bisquare kernel
me_gwrsar

me_gwrsar to be documented
aic_model

aic_model to be documented
gauss_C

gauss_C to be documented
gauss_adapt

Adaptive gaussian kernel
QRcpp_C

QRcpp_C to be documented
bandwidths_mgwrsar

Select optimal kernel and bandwidth from a list of models, kernels and bandwidth candidates.
bandwidth_searchW

bandwidth_searchW to be documented
GDXC3

GDXC3 to be documented
GDXC

GDXC to be documented
assign_control

assign_control to be documented
GX

GX to be documented
SSR_h

SSR_h to be documented
Sidak_cor_MGWR

Sidak_cor_MGWR to be documented
mgwrsar_bootstrap_test

A bootstrap test for Betas for mgwrsar class model.
INST_C

INST_C to be documented
SSR_h_bw

SSR_h_bw to be documented
Sl_C

Sl_C to be documented
bandwidth_search

bandwidth_search to be documented
gauss_adapt_C

Adaptive gaussian kernel, RcppEigen version
bisq

bisquare kernel
mgwrsar_bootstrap_test_all

A bootstrap test for testing nullity of all Betas for mgwrsar class model,
fb

fb to be documented
sample_spat

A sampling method for bootstrap test with spatial data using distance bisquare kernel.
mgwrsar-package

mgwrsar
fill_DGPTAB

fill_DGPTAB to be documented
kernelW_C

Computes weight matrix for a given kernel and bandwidth
gauss_knn_C

gauss_knn_C to be documented
bisq_C

bisquare kernel, RcppEigen version
set0_conditionXD

set0_conditionXD to be documented
mod

mod to be documented
int_prems

int_prems to be documented
normW

row normalization of dgCMatrix
model_conf

model_conf to be documented
init_DGPTAB

init_DGPTAB to be documented
support_search

support_search to be documented
mydata

mydata is a simulated data set of a mgwrsar model
indice_aggreg

indice_aggreg to be documented
incr_search_band

incr_search_band to be documented
plot_mgwrsar

plot_mgwrsar plots the value of local paramaters of a mgwrsar models using a leaflet map.
summary_Matrix

summary_Matrix to be documented
kernel_C

kernel_C to be documented
summary_mgwrsar

Print a summary of mgwrsar models
predict_mgwrsar

mgwrsar Model Predictions
Dx_dense_C

Dx_dense_C to be documented
ApproxiW

ApproxiW to be documented
BP_pred_SAR

BP_pred_SAR to be documented
EDK

EDK to be documented
Beta_extropolation

An extrapolation method using shepard smooth with a given number of neighbors.
GDT

GDT to be documented
GDTXXC

GDTXXC to be documented
GDX

GDX to be documented
GDC

GDC to be documented
BP_pred_MGWRSARC

BP_pred_MGWRSARC to be documented
BP_pred_MGWRSAR

BP_pred_MGWRSAR to be documented
CV

CV to be documented
GD

GD to be documented
D_dense_C

D_dense_C to be documented
GDTC

GDTC to be documented
GDXX

GDXX to be documented
GDXC4

GDXC4 to be documented
GDXXC

GDXXC to be documented