standardizeInputs: Standardizes the observation x and updates the online moment...
In hermiter: Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)
standardizeInputs R Documentation
Standardizes the observation x and updates the online moment inputs
Description
Standardizes the observation x and updates the online moment inputs
Usage
standardizeInputs(x, n_obs, current_mean, current_var)
Arguments
x
A numeric value.
n_obs
A numeric value. The number of observations.
current_mean
A numeric value.
current_var
A numeric value.
Value
A numeric vector. The first element is the updated mean. The
second element is the updated variance times n_obs. The third element is the
updated, standardized value of x.
Author(s)
Michael Stephanou <michael.stephanou@gmail.com>
hermiter documentation built on May 29, 2024, 2:09 a.m.
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| standardizeInputs | R Documentation |
Standardizes the observation x and updates the online moment inputs
Description
Standardizes the observation x and updates the online moment inputs
Usage
standardizeInputs(x, n_obs, current_mean, current_var)
Arguments
x |
A numeric value. |
n_obs |
A numeric value. The number of observations. |
current_mean |
A numeric value. |
current_var |
A numeric value. |
Value
A numeric vector. The first element is the updated mean. The second element is the updated variance times n_obs. The third element is the updated, standardized value of x.
Author(s)
Michael Stephanou <michael.stephanou@gmail.com>
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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