multiModalModelLikelihood: Likelihood of data given a multi-modal probability...
In thartbm/handlocs: Download and analyse 2D reaching and hand localization data
multiModalModelLikelihood R Documentation
Likelihood of data given a multi-modal probability distribution.
Description
This function is part of a set of functions to fit and
evaluate multi modal (normal) distribution of data points.
Usage
multiModalModelLikelihood(par, x)
Arguments
par
A named vector with the model parameter (see details).
x
A sequence of numbers to evaluate the probability of.
Details
The 'par' argument is a data frame (or named list) with columns:
- m: mean
- s: standard deviation
- w: weight
for every normal distribution of the model
Value
The sum of the log of the probabilities returned by 'multiModalModel()'.
thartbm/handlocs documentation built on Feb. 18, 2025, 10:53 p.m.
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| multiModalModelLikelihood | R Documentation |
Likelihood of data given a multi-modal probability distribution.
Description
This function is part of a set of functions to fit and evaluate multi modal (normal) distribution of data points.
Usage
multiModalModelLikelihood(par, x)
Arguments
par |
A named vector with the model parameter (see details). |
x |
A sequence of numbers to evaluate the probability of. |
Details
The 'par' argument is a data frame (or named list) with columns: - m: mean - s: standard deviation - w: weight for every normal distribution of the model
Value
The sum of the log of the probabilities returned by 'multiModalModel()'.
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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