prof_likelihood: Profile likelihood: function to find optimal weights when...
In andrew-mcinerney/nnic: Statistical-modelling approach to Neural Network
View source: R/prof_likelihood.R
prof_likelihood R Documentation
Profile likelihood: function to find optimal weights when fixing a parameter
Description
Profile likelihood: function to find optimal weights when fixing a parameter
Usage
prof_likelihood(X, Y, W, q, ind, val)
Arguments
X
Data
Y
Response
W
Weight vector
q
number of hidden units
ind
index of weight for profiling
val
value for profiling
Value
Profile likelihood weights
andrew-mcinerney/nnic documentation built on Dec. 9, 2022, 1:26 p.m.
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View source: R/prof_likelihood.R
| prof_likelihood | R Documentation |
Profile likelihood: function to find optimal weights when fixing a parameter
Description
Profile likelihood: function to find optimal weights when fixing a parameter
Usage
prof_likelihood(X, Y, W, q, ind, val)
Arguments
X |
Data |
Y |
Response |
W |
Weight vector |
q |
number of hidden units |
ind |
index of weight for profiling |
val |
value for profiling |
Value
Profile likelihood weights
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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