mleFull: Maximum likelihood estimation - Full model
In blebedenko/impatience2: What the Package Does (One Line, Title Case)
mleFull R Documentation
Maximum likelihood estimation - Full model
Description
Maximum likelihood estimation - Full model
Usage
mleFull(AWX, params)
Arguments
AWX
AWX dataframe
params
vector c(gamma, lambda_0, theta)
Value
A list with elements: ans - the mle's, boundary = logical indicating whether solution is on boundary
blebedenko/impatience2 documentation built on April 10, 2022, 11:01 a.m.
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| mleFull | R Documentation |
Maximum likelihood estimation - Full model
Description
Maximum likelihood estimation - Full model
Usage
mleFull(AWX, params)
Arguments
AWX |
AWX dataframe |
params |
vector c(gamma, lambda_0, theta) |
Value
A list with elements: ans - the mle's, boundary = logical indicating whether solution is on boundary
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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