loglikelihood_normal: Calculate the log likelihood for a normally distributed...
In jbryer/VisualStats: Visualizations for Statistical Tests
View source: R/likelihood_normal.R
loglikelihood_normal R Documentation
Calculate the log likelihood for a normally distributed dependent variable.
Description
Calculate the log likelihood for a normally distributed dependent variable.
Usage
loglikelihood_normal(parameters, predictor, outcome)
Arguments
parameters
the regression parameters. Element one is the intercept,
element two is the slope, and element three is the error (root mean
square error).
predictor
vector of predictors.
outcome
vector of outcomes.
Value
the log likelihood.
jbryer/VisualStats documentation built on Feb. 27, 2025, 6:19 p.m.
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View source: R/likelihood_normal.R
| loglikelihood_normal | R Documentation |
Calculate the log likelihood for a normally distributed dependent variable.
Description
Calculate the log likelihood for a normally distributed dependent variable.
Usage
loglikelihood_normal(parameters, predictor, outcome)
Arguments
parameters |
the regression parameters. Element one is the intercept, element two is the slope, and element three is the error (root mean square error). |
predictor |
vector of predictors. |
outcome |
vector of outcomes. |
Value
the 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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