process.residuals: Process residuals from registration
In ashtonwiens/gp.nonrigid.registration: An R package for rigid and nonrigid registration of spatial surfaces
Description
Usage
Arguments
Value
Description
process.residuals calculates mean squared and mean absolute error summary
statistics, and the plotting functionality can be used as model diagnostics
Usage
1
2
process.residuals(d1, d2.obs, d2.true, d2.hat, data.gend, plot = FALSE,
gpnl.obj, zlim = NULL)
Arguments
d1
data set 1
d2.obs
the observed (deregistered) data set 2, which need(ed) to be registered
d2.true
the true values of data set 2
d2.hat
the registration model fitted values for data set 2 (i.e. the registered
data set 2)
Value
a list of summary statistics and residual matrices
ashtonwiens/gp.nonrigid.registration documentation built on April 11, 2020, 12:28 a.m.
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Description Usage Arguments Value
Description
process.residuals calculates mean squared and mean absolute error summary
statistics, and the plotting functionality can be used as model diagnostics
Usage
1 2 | process.residuals(d1, d2.obs, d2.true, d2.hat, data.gend, plot = FALSE,
gpnl.obj, zlim = NULL)
|
Arguments
d1 |
data set 1 |
d2.obs |
the observed (deregistered) data set 2, which need(ed) to be registered |
d2.true |
the true values of data set 2 |
d2.hat |
the registration model fitted values for data set 2 (i.e. the registered data set 2) |
Value
a list of summary statistics and residual matrices
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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