pureSeq: prediction of unobserved responses with fast methods for big...
In jayverhoef/SSNbd: Spatial Modeling for Big Data Sets on Stream Networks
Description
Usage
Arguments
Value
Author(s)
Description
Prediction of unobserved responses with fast methods for big data with SSN
Usage
1
pureSeq(ecp, efe, predsID, nNN)
Arguments
ecp
object from cope function.
efe
object from fefe function
predsID
name of prediction data set in ssn object (passed with ecp)
nNN
number of nearest neighbors for predictions
Value
a data.frame with predictions in first column, and prediction standard errors in the second column.
Author(s)
Jay Ver Hoef
jayverhoef/SSNbd documentation built on April 1, 2020, 8:06 a.m.
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Description Usage Arguments Value Author(s)
Description
Prediction of unobserved responses with fast methods for big data with SSN
Usage
1 | pureSeq(ecp, efe, predsID, nNN)
|
Arguments
ecp |
object from cope function. |
efe |
object from fefe function |
predsID |
name of prediction data set in ssn object (passed with ecp) |
nNN |
number of nearest neighbors for predictions |
Value
a data.frame with predictions in first column, and prediction standard errors in the second column.
Author(s)
Jay Ver Hoef
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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