update_probabilities: Construct normalized class properties for a given set of...
In emax.glm: General Tools for Building GLM Expectation-Maximization Models
Description
Usage
Arguments
Value
Examples
Description
Construct normalized class properties for a given set of parameters
Usage
1
update_probabilities(dprob, params)
Arguments
dprob
Probability distribution function to call. See 'dprob.list' for examples.
params
List of class parameters. Length of list is number of classes
Value
A n-by-k matrix of class probabilities (each row normalized to 1).
Examples
1
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x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
dprob <- make.dpois(x = x, y = y)
params <- list(rep(1, 4))
update_probabilities(dprob, params)
emax.glm documentation built on July 4, 2019, 5:04 p.m.
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Description Usage Arguments Value Examples
Description
Construct normalized class properties for a given set of parameters
Usage
1 | update_probabilities(dprob, params)
|
Arguments
dprob |
Probability distribution function to call. See 'dprob.list' for examples. |
params |
List of class parameters. Length of list is number of classes |
Value
A n-by-k matrix of class probabilities (each row normalized to 1).
Examples
1 2 3 4 5 6 7 | x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
dprob <- make.dpois(x = x, y = y)
params <- list(rep(1, 4))
update_probabilities(dprob, params)
|
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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