ML: Maximum Likelihood
In akreutzmann/trafo: Estimation, Comparison and Selection of Transformations
Description
Usage
Arguments
Value
Description
Maximum Likelihood
Usage
1
Arguments
y
vector of response variables
x
matrix of regressors
lambda
transformation parameter
trafo
determines the chosen transformation
custom_func_std
a function that determines a customized standard
transformation.
Value
log-likelihood
akreutzmann/trafo documentation built on Sept. 14, 2020, 9:03 p.m.
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Description Usage Arguments Value
Description
Maximum Likelihood
Usage
1 |
Arguments
y |
vector of response variables |
x |
matrix of regressors |
lambda |
transformation parameter |
trafo |
determines the chosen transformation |
custom_func_std |
a function that determines a customized standard transformation. |
Value
log-likelihood
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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