add_noise: Add Gaussian noise to cues in a data set.
In hlplab/MVBeliefUpdatr: Fitting, Summarizing, and Visualizing of Multivariate Gaussian Ideal Observers and Adaptors
add_noise R Documentation
Add Gaussian noise to cues in a data set.
Description
Adds Gaussian noise to cues in a data set.
Usage
add_noise(data, cues, method = c("sample", "marginalize"), Sigma)
Arguments
data
data.frame or tibble.
cues
Column names of cues in data.
method
If "sample" then a sample of
noise is added to the input. If "marginalize" then each observation is transformed into the marginal distribution
that results from convolving the input with noise. Currently, only "sample" is implemented (default: "sample")
Sigma
Covariance matrix of noise.
Value
Same as data.
hlplab/MVBeliefUpdatr documentation built on March 29, 2025, 10:42 p.m.
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| add_noise | R Documentation |
Add Gaussian noise to cues in a data set.
Description
Adds Gaussian noise to cues in a data set.
Usage
add_noise(data, cues, method = c("sample", "marginalize"), Sigma)
Arguments
data |
|
cues |
Column names of cues in |
method |
If "sample" then a sample of noise is added to the input. If "marginalize" then each observation is transformed into the marginal distribution that results from convolving the input with noise. Currently, only "sample" is implemented (default: "sample") |
Sigma |
Covariance matrix of noise. |
Value
Same as data.
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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