mu.mnl: Multinomial logit mean calculation with restrictions and...
In tkrisztin/downscalr: Downscaling land-use change projections
mu.mnl R Documentation
Multinomial logit mean calculation with restrictions and cutoff
Description
Multinomial logit mean calculation with restrictions and cutoff
Usage
mu.mnl(x, mu, areas, restrictions = NULL, cutoff = 0, area.cutoff = FALSE)
Arguments
x
Bias correction parameters
mu
Means of each class
areas
Vector of areas
restrictions
Optional restrictions. Binary, if 1, the log-odds are set to zero
cutoff
Optional, defaults to zero. If set, all log-odds below cutoff are set to zero
area.cutoff
Boolean, defaults to FALSE. If TRUE, cutoff triggers based on area instead
Value
Returns the vector of log-odds times the areas
tkrisztin/downscalr documentation built on June 2, 2025, 1:16 a.m.
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| mu.mnl | R Documentation |
Multinomial logit mean calculation with restrictions and cutoff
Description
Multinomial logit mean calculation with restrictions and cutoff
Usage
mu.mnl(x, mu, areas, restrictions = NULL, cutoff = 0, area.cutoff = FALSE)
Arguments
x |
Bias correction parameters |
mu |
Means of each class |
areas |
Vector of areas |
restrictions |
Optional restrictions. Binary, if 1, the log-odds are set to zero |
cutoff |
Optional, defaults to zero. If set, all log-odds below cutoff are set to zero |
area.cutoff |
Boolean, defaults to FALSE. If TRUE, cutoff triggers based on area instead |
Value
Returns the vector of log-odds times the areas
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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