TStudentNoise: t-Student Noise
In juancbellass/time-series-r-package: Time Series Similarity Indices
View source: R/Time_Series_Distortions.R
TStudentNoise R Documentation
t-Student Noise
Description
A vector ts.student is created where every element of _ts.student_ follow a
t(df) distribution. The _prop_
selected randomly. If Y_i_ is selected then it is replaced by _Y_i_ + _ts.student_i_.
Usage
TStudentNoise(y, prob, dfr)
Arguments
prob
The probability of success of the binomial distribution. A number between 0 and 1.
dfr
The degrees of freedom of the t-student distribution.
Y
The time serie as *numeric* to be contaminated.
Value
The Y matrix with t-Student noise.
juancbellass/time-series-r-package documentation built on Aug. 26, 2023, 8:06 p.m.
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View source: R/Time_Series_Distortions.R
| TStudentNoise | R Documentation |
t-Student Noise
Description
A vector ts.student is created where every element of _ts.student_ follow a t(df) distribution. The _prop_ selected randomly. If Y_i_ is selected then it is replaced by _Y_i_ + _ts.student_i_.
Usage
TStudentNoise(y, prob, dfr)
Arguments
prob |
The probability of success of the binomial distribution. A number between 0 and 1. |
dfr |
The degrees of freedom of the t-student distribution. |
Y |
The time serie as *numeric* to be contaminated. |
Value
The Y matrix with t-Student noise.
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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