lmweber / BRISC-extensions

BRISC-extensions

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Overview

Bootstrap for Rapid Inference on Spatial Covariances: Provides parameter estimates and bootstrap based confidence intervals for all parameters in a Gaussian Process based spatial regression model.

Installation

In order to download the package, please run the following command in R:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("ArkajyotiSaha/BRISC-extensions")

What's new?

• Evaluation of Log-likelihood with the MLE of the model parameters, available in BRISC_estimation as log_likelihood in the output.
• Bypassing the ordering. The ordering was available as an output earlier in BRISC_estimation, but there was no way to bypass it. Now, in BRISC_estimation, the ordering can be bypassed by giving it as an input in ordering.
• A code for ordering the coordinates, BRISC_order. Inputs are coordinates, ordering methods and verbose e.g. BRISC_order(coords, order = "Sum_coords", verbose = TRUE). Output is the ordering of the coords and can be used as input for ordering in Brisc_estimation.
• Bypassing the neighbor selection and associated calculation (e.g. distance calculation, proper form of input for NNGP). The neighbor selection was available as an output earlier in BRISC_estimation, but there was no way to bypass it. Now, in BRISC_estimation, the neighbor selection can be bypassed by giving it as an input in neighbor. The input of neighbor has to be an output from BRISC_neighbor. Inputs of this code are coordinates, ordering methods and verbose e.g. BRISC_neighbor(coords, order = "Sum_coords", verbose = TRUE).
• For convenience the ordering of the outputs in object Brisc_out was slightly altered, should not pose a major problem for users as there is no direct user interaction with this output.