fit_bn: Fits a BN using covariates from rasters
In tereom/bnecology: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Details
Description
Fits a BN using covariates from rasters
Usage
1
fit_bn(geom, vars_paths, crs = "lcc_mex", score = "bic")
Arguments
geom
region sf, polygon(s) that determine analysis area
vars_paths
paths to rasters with covariates to be included in BN
crs
string specifying projection (proj4string) passed to
sf::st_transform, defaults to lcc (Mex)
score
a character string, the label of the network score to be used in
hill-climbing algorithm, pased to hc. Defaults to BIC
Details
Given the path to a set of rasters and a region
specified by a polygon or set of polygons (simple feature) it adjusts a
Bayesian Network.
tereom/bnecology documentation built on Nov. 27, 2019, 2:15 p.m.
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Description Usage Arguments Details
Description
Fits a BN using covariates from rasters
Usage
1 | fit_bn(geom, vars_paths, crs = "lcc_mex", score = "bic")
|
Arguments
geom |
region sf, polygon(s) that determine analysis area |
vars_paths |
paths to rasters with covariates to be included in BN |
crs |
string specifying projection (proj4string) passed to sf::st_transform, defaults to lcc (Mex) |
score |
a character string, the label of the network score to be used in
hill-climbing algorithm, pased to |
Details
Given the path to a set of rasters and a region specified by a polygon or set of polygons (simple feature) it adjusts a Bayesian Network.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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