extract_sub: Helping function for algorithm 2: Pre-compute the partial...
In mosum: Moving Sum Based Procedures for Changes in the Mean
extract_sub R Documentation
Helping function for algorithm 2: Pre-compute the partial sums
S_i = sumj=k_i+1^k_i+1x_i and the partial sums of squared
T_i = sumj=k_i+1^k_i+1x_i^2
between the (sorted) candidates k_i and k_i+1 in cand.
Output: data frame with 4 columns k_i | k_i+1 | S_i | T_i
Description
Helping function for algorithm 2: Pre-compute the partial sums
S_i = sumj=k_i+1^k_i+1x_i and the partial sums of squared
T_i = sumj=k_i+1^k_i+1x_i^2
between the (sorted) candidates k_i and k_i+1 in cand.
Output: data frame with 4 columns k_i | k_i+1 | S_i | T_i
Usage
extract_sub(cand, x)
mosum documentation built on Oct. 22, 2022, 5:05 p.m.
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| extract_sub | R Documentation |
Helping function for algorithm 2: Pre-compute the partial sums S_i = sumj=k_i+1^k_i+1x_i and the partial sums of squared T_i = sumj=k_i+1^k_i+1x_i^2 between the (sorted) candidates k_i and k_i+1 in cand. Output: data frame with 4 columns k_i | k_i+1 | S_i | T_i
Description
Helping function for algorithm 2: Pre-compute the partial sums S_i = sumj=k_i+1^k_i+1x_i and the partial sums of squared T_i = sumj=k_i+1^k_i+1x_i^2 between the (sorted) candidates k_i and k_i+1 in cand. Output: data frame with 4 columns k_i | k_i+1 | S_i | T_i
Usage
extract_sub(cand, x)
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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