sclr_log_likelihood: Log-likelihood
In khvorov45/dunmle: Scaled Logistic Regression
Description
Computes the log-likelihood of the scaled logit model at a given set of
parameter estimates (or the MLE if pars is not supplied). Either
fit or x, y and pars need to be supplied.
Usage
1
sclr_log_likelihood(fit = NULL, x = NULL, y = NULL, pars = NULL)
Arguments
fit
An object returned by sclr. Or a list with
parameters, x and y entries corresponding to the parameter matrix, model
matrix and model response.
x
Model matrix. Will be taken from fit if fit is
provided.
y
Model response. Will be taken from fit if fit is
provided.
pars
A named vector of parameter values. Will be taken from fit
if fit is provided.
khvorov45/dunmle documentation built on March 4, 2020, 7:16 p.m.
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Description
Computes the log-likelihood of the scaled logit model at a given set of
parameter estimates (or the MLE if pars is not supplied). Either
fit or x, y and pars need to be supplied.
Usage
1 | sclr_log_likelihood(fit = NULL, x = NULL, y = NULL, pars = NULL)
|
Arguments
fit |
An object returned by |
x |
Model matrix. Will be taken from |
y |
Model response. Will be taken from |
pars |
A named vector of parameter values. Will be taken from |
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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