lm.loss_x_y: Estimate the parameters of a linear regression (intercept,...
In markushuff/PsychHelperFunctions: Common helper functions for psychological data analysis
lm.loss_x_y R Documentation
Estimate the parameters of a linear regression (intercept, slope, error standard deviation)
with maximum likelihood estimations
Description
Maximum likelihood estimation: Linear regression with one predictor
Usage
lm.loss_x_y(par)
Arguments
par
parameter triple (slope, intercept, error standard deviation)
Value
deviance
References
https://rpubs.com/YaRrr/MLTutorial
markushuff/PsychHelperFunctions documentation built on Sept. 11, 2022, 3:43 a.m.
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| lm.loss_x_y | R Documentation |
Estimate the parameters of a linear regression (intercept, slope, error standard deviation) with maximum likelihood estimations
Description
Maximum likelihood estimation: Linear regression with one predictor
Usage
lm.loss_x_y(par)
Arguments
par |
parameter triple (slope, intercept, error standard deviation) |
Value
deviance
References
https://rpubs.com/YaRrr/MLTutorial
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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