deviances: Deviance
In PUlasso: High-Dimensional Variable Selection with Presence-Only Data
deviances R Documentation
Deviance
Description
Calculate deviances at provided coefficients
Usage
deviances(X, z, py1, coefMat, weights = NULL)
Arguments
X
Input matrix
z
Response vector
py1
True prevalence Pr(Y=1)
coefMat
A coefficient matrix whose column corresponds to a set of coefficients
weights
observation weights. Default is 1 for each observation.
Value
deviances
Examples
data("simulPU")
coef0<-replicate(2,runif(ncol(simulPU$X)+1))
deviances(simulPU$X,simulPU$z,py1=simulPU$truePY1,coefMat = coef0)
PUlasso documentation built on May 29, 2024, 7:46 a.m.
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| deviances | R Documentation |
Deviance
Description
Calculate deviances at provided coefficients
Usage
deviances(X, z, py1, coefMat, weights = NULL)
Arguments
X |
Input matrix |
z |
Response vector |
py1 |
True prevalence Pr(Y=1) |
coefMat |
A coefficient matrix whose column corresponds to a set of coefficients |
weights |
observation weights. Default is 1 for each observation. |
Value
deviances
Examples
data("simulPU")
coef0<-replicate(2,runif(ncol(simulPU$X)+1))
deviances(simulPU$X,simulPU$z,py1=simulPU$truePY1,coefMat = coef0)
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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