spselect-package: Selecting spatial scale of area-level covariates in...

In spselect: Selecting Spatial Scale of Covariates in Regression Models

Description

Fits spatial scale (SS) forward stepwise regression, SS incremental forward stagewise regression, SS least angle regression (LARS), and SS lasso models. All area-level covariates are considered at all available scales to enter a model, but the SS algorithms are constrained to select each area-level covariate at a single spatial scale.

Details

Package:	spselect
Type:	Package
Version:	0.0.1
Date:	2016-08-29
License:	GPL (>=2)
LazyLoad:	yes

Author(s)

Lauren Grant, David Wheeler

Maintainer: Lauren Grant <[e-mail]>

References

Grant LP, Gennings C, Wheeler, DC. (2015). Selecting spatial scale of covariates in regression models of environmental exposures. Cancer Informatics, 14(S2), 81-96. doi: 10.4137/CIN.S17302

Examples

data(y)
data(X.3D)
y.name <- "y"
ss <- c("ind", "ss1", "ss2")
mod_forward.step.ss_1 <- stepwise.ss(y, X.3D, y.name, ss, 1)

Example output

Loading required package: tester
Loading required package: magic
Loading required package: abind
Loading required package: pracma

Attaching package: 'pracma'

The following object is masked from 'package:magic':

    magic

[1] "Results are with no intercept."
[1] "Start: AIC = -1.0259"
[1] "y ~ 0"
[1] 1
[1] "Step: AIC = -10.3344"
[1] "y ~ ss1_x2.ss1"
[1] 2
[1] "Step: AIC = -13.6769"
y ~ ss1_x2.ss1 + ind_x1.ind 
[1] "Diff in AIC = 3.3425"
[1] 3
[1] "Step: AIC = -22.6657"
y ~ ss1_x2.ss1 + ind_x1.ind + ss2_x3.ss2 
[1] "Diff in AIC = 8.9887"

Call:
lm(formula = y ~ . - 1, data = X.in, x = TRUE, y = TRUE)

Coefficients:
ss1_x2.ss1  ind_x1.ind  ss2_x3.ss2  
    0.6784      0.4703      0.4443  

[1] "Diff in AIC = 8.9887"
[1] "Epsilon = 1"
[1] "No. of vars in model = 3"
[1] "Total no. of vars possible = 3"

spselect documentation built on May 2, 2019, 3:32 a.m.