inst/isoscape example/4-predict_isoscape.R
In rundel/isoscatR: R package for smoothed and continuous assignment tests of genetic samples
library(spBayes)
load(file = file.path(data_dir,"gnip_data.Rdata"))
load(file = file.path(data_dir,"splm_fit.Rdata"))
p = spPredict(l, pred.coords = pred_data[,c("long", "lat")], pred.covars=pred_data, start=10020, end=30000, thin=20)
r = brick( pred_rasts[[1]], nl = ncol(p$y.pred))
values(r) = p$y.pred
save(p,r,file="sp_lm_pred.Rdata")
rundel/isoscatR documentation built on May 28, 2019, 10:41 a.m.
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library(spBayes)
load(file = file.path(data_dir,"gnip_data.Rdata"))
load(file = file.path(data_dir,"splm_fit.Rdata"))
p = spPredict(l, pred.coords = pred_data[,c("long", "lat")], pred.covars=pred_data, start=10020, end=30000, thin=20)
r = brick( pred_rasts[[1]], nl = ncol(p$y.pred))
values(r) = p$y.pred
save(p,r,file="sp_lm_pred.Rdata")
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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