loglikhresid: The negative log likelihood function for obtaining heuristic...
In ROlogit: Fit Rank-Ordered Logit (RO-Logit) Model
Description
Compute the negative log-likelihood for obtaining heuristic
residuals.
Usage
1
loglikhresid(par, y, x, par1)
Arguments
par
vector of numeric. Contain the intercept, first entry, and
coefficient of log(sigma), second entry.
y
vector of numeric. Centered outcomes within each stratum.
x
matrix. The design matrix including intercept term.
par1
vector of numeric. The estimated coefficients from RO-logit
model.
ROlogit documentation built on March 19, 2018, 9:03 a.m.
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Description
Compute the negative log-likelihood for obtaining heuristic residuals.
Usage
1 | loglikhresid(par, y, x, par1)
|
Arguments
par |
vector of numeric. Contain the intercept, first entry, and coefficient of log(sigma), second entry. |
y |
vector of numeric. Centered outcomes within each stratum. |
x |
matrix. The design matrix including intercept term. |
par1 |
vector of numeric. The estimated coefficients from RO-logit model. |
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.
As an Amazon Associate I earn from qualifying purchases.
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