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mgwrsar (version 0.1-1)
GWR and MGWR with Spatial Autocorrelation
Description
Functions for computing (Mixed) Geographycally Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017)
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Version
Version
1.1
1.0.5
1.0.4
1.0
0.1-1
0.1
Install
install.packages('mgwrsar')
Monthly Downloads
403
Version
0.1-1
License
GPL (>= 2)
Maintainer
Ghislain Geniaux
Last Published
May 6th, 2021
Functions in mgwrsar (0.1-1)
Search all functions
GD
GD to be documented
GDXC
GDXC to be documented
GDX
GDX to be documented
GDTC
GDTC to be documented
KNN
A function that returns a row normalized weight matrix based on k first neighbors, to be documented
PhWY_C
PhWY_C to be documented
GDTXX
GDTXX to be documented
GDTXC
GDTXC to be documented
GDXC3
GDXC3 to be documented
GDTX
GDTX to be documented
BP_pred_SAR
BP_pred_SAR to be documented
bandwidths_mgwrsar
Select optimal kernel and bandwidth from a list of models, kernels and bandwidth candidates.
GDXC4
GDXC4 to be documented
ApproxiW
ApproxiW to be documented
Beta_extropolation
An extrapolation method using shepard smooth with a given number of neighbors.
GDXC5
Title GDXC5 to be documented
Dx_dense_C
Dx_dense_C to be documented
KNNX
KNNX to be documented
GWR
GWR to be documented
Proj_C
Proj_C to be documented
SSR_h_bw
SSR_h_bw to be documented
me_gwrsar
me_gwrsar to be documented
GDTXXC
GDTXXC to be documented
SSR_h
SSR_h to be documented
GDXX
GDXX to be documented
GPKj
GPKj to be documented
GDC
GDC to be documented
bandwidth_searchW
bandwidth_searchW to be documented
BP_pred_MGWRSAR
BP_pred_MGWRSAR to be documented
gauss_adapt_C
Adaptive gaussian kernel, RcppEigen version
INST_C
INST_C to be documented
plot_mgwrsar
plot_mgwrsar plots the value of local paramaters of a mgwrsar models using a leaflet map.
Sidak_cor_MGWR
Sidak_cor_MGWR to be documented
SARHS
SARHS to be documented
gauss_knn_C
gauss_knn_C to be documented
SSR
SSR to be documented
GDXXC
GDXXC to be documented
Tf
Asymptotic test for mgwrsar models using Sidak correction, EXPERIMENTAL (alpha=0.05 percent)
GX
GX to be documented
incr_search_band
incr_search_band to be documented
indice_aggreg
indice_aggreg to be documented
MGWR
MGWR to be documented
GDT
GDT to be documented
init_DGPTAB
init_DGPTAB to be documented
bisq
bisquare kernel
fb
fb to be documented
Sl_C
Sl_C to be documented
bias_gwrsar
bias_gwrsar to be documented
QRcpp_C
QRcpp_C to be documented
bisq_C
bisquare kernel, RcppEigen version
kernelW_C
Computes weight matrix for a given kernel and bandwidth
normW
row normalization of dgCMatrix
MGWRSAR
Estimation of linear and local linear model with spatial autocorrelation model (mgwrsar).
bin_C
bin_C to be documented
kernel_C
kernel_C to be documented
QRcpp2_C
QRcpp2_C to be documented
mgwrsar_bootstrap_test_all
A bootstrap test for testing nullity of all Betas for mgwrsar class model,
assign_control
assign_control to be documented
bandwidth_search
bandwidth_search to be documented
int_prems
int_prems to be documented
aic_model
aic_model to be documented
mydata
mydata is a simulated data set of a mgwrsar model
fill_DGPTAB
fill_DGPTAB to be documented
summary_mgwrsar
Print a summary of mgwrsar models
summary_Matrix
summary_Matrix to be documented
fastlmLLT_C
fastlmLLT_C to be documented
bisq_knn_C
Adaptive bisquare kernel
mgwrsar-package
mgwrsar
sample_spat
A sampling method for bootstrap test with spatial data using distance bisquare kernel.
set0_conditionXD
set0_conditionXD to be documented
predict_mgwrsar
mgwrsar Model Predictions
mgwrsar_bootstrap_test
A bootstrap test for Betas for mgwrsar class model.
gauss_adapt
Adaptive gaussian kernel
mod
mod to be documented
gauss_C
gauss_C to be documented
model_conf
model_conf to be documented
support_search
support_search to be documented
BP_pred_MGWRSARC
BP_pred_MGWRSARC to be documented
EDK
EDK to be documented
D_dense_C
D_dense_C to be documented
CV
CV to be documented