calculate_sigma2: Calculates sum of squared errors, divided by NT
In RCTS: Clustering Time Series While Resisting Outliers
View source: R/03_IFE_algorithm_functions.R
calculate_sigma2 R Documentation
Calculates sum of squared errors, divided by NT
Description
Calculates sum of squared errors, divided by NT
Usage
calculate_sigma2(e, NN = nrow(e), TT = ncol(e))
Arguments
e
matrix with error terms
NN
N
TT
T
Value
numeric
Examples
Y <- Y_dgp3
set.seed(1)
e <- matrix(rnorm(nrow(Y) * ncol(Y)), nrow = nrow(Y))
calculate_sigma2(e)
RCTS documentation built on May 31, 2023, 9:20 p.m.
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View source: R/03_IFE_algorithm_functions.R
| calculate_sigma2 | R Documentation |
Calculates sum of squared errors, divided by NT
Description
Calculates sum of squared errors, divided by NT
Usage
calculate_sigma2(e, NN = nrow(e), TT = ncol(e))
Arguments
e |
matrix with error terms |
NN |
N |
TT |
T |
Value
numeric
Examples
Y <- Y_dgp3
set.seed(1)
e <- matrix(rnorm(nrow(Y) * ncol(Y)), nrow = nrow(Y))
calculate_sigma2(e)
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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