loglinear_conductance: Log-link conductance model
In nspope/radish: Fast gradient-based optimization of resistance surfaces
View source: R/radish_conductance_model.R
Description
Returns a function of class "conductance_model" that represents a log-linear
mapping from spatial covariates to conductance
Usage
1
Details
The model is of the form
C_i = exp(x_i1 * theta_1 + x_i2 * theta_2 + ...)
where "C_i" is the conductance of vertex "i", "x_ij" is the value of spatial
covariate "j" at vertex "i", and "theta_j" is the parameter associated with
covariate "j". The intercept is omitted as it is non-identifiable.
Categorical covariates are dummy-coded using the default contrasts, via model.matrix.
nspope/radish documentation built on July 12, 2020, 11:50 a.m.
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View source: R/radish_conductance_model.R
Description
Returns a function of class "conductance_model" that represents a log-linear mapping from spatial covariates to conductance
Usage
1 |
Details
The model is of the form
C_i = exp(x_i1 * theta_1 + x_i2 * theta_2 + ...)
where "C_i" is the conductance of vertex "i", "x_ij" is the value of spatial covariate "j" at vertex "i", and "theta_j" is the parameter associated with covariate "j". The intercept is omitted as it is non-identifiable.
Categorical covariates are dummy-coded using the default contrasts, via model.matrix.
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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