prepare.mask.bases: Add spline basis functions to mask covariates.
In david-borchers/secrgam: Spatially Explicit Capture-Recapture with Generalised Additive Density Models
Description
Usage
Arguments
Details
Value
Examples
Description
Replaces attr(mask,"covariates") with a data frame containing
new variables comprising basis function values for smoopthed variables,
toghether with non-smoothed variables (but excluding "x" and "y", which are
in mask already).
Usage
1
prepare.mask.bases(Dmodel, mask, sessioncov = NULL, nsessions = 1)
Arguments
model
secr model specification list.
mask
secr mask object.
Details
(None as yet...)
Value
Returns a mask object with updated covariates.
Examples
1
2
3
4
5
6
data(Boland.leopards1)
head(Boland.mask1)
head(covariates(Boland.mask1))
newmask = prepare.mask.bases(~s(x, k = 3), Boland.mask1)
head(newmask)
head(covariates(newmask))
david-borchers/secrgam documentation built on May 14, 2019, 9:30 p.m.
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Description Usage Arguments Details Value Examples
Description
Replaces attr(mask,"covariates") with a data frame containing new variables comprising basis function values for smoopthed variables, toghether with non-smoothed variables (but excluding "x" and "y", which are in mask already).
Usage
1 | prepare.mask.bases(Dmodel, mask, sessioncov = NULL, nsessions = 1)
|
Arguments
model |
secr model specification list. |
mask |
secr mask object. |
Details
(None as yet...)
Value
Returns a mask object with updated covariates.
Examples
1 2 3 4 5 6 | data(Boland.leopards1)
head(Boland.mask1)
head(covariates(Boland.mask1))
newmask = prepare.mask.bases(~s(x, k = 3), Boland.mask1)
head(newmask)
head(covariates(newmask))
|
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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