sol.idetect {breakfast}  R Documentation 
This function arranges all possible changepoints in the mean of the input vector in the order of importance, via the IsolateDetect (ID) method. It is developed to be used with the sdll and information criterion (ic) model selection rules.
sol.idetect(x, thr_ic = 0.9, points = 3)
x 
A numeric vector containing the data to be processed. 
thr_ic 
A positive real number with default value equal to 0.9. It is used to create the solution path. The lower the value, the larger the solution path vector. 
points 
A positive integer with default value equal to 3. It defines the distance between two consecutive end or startpoints of the right or leftexpanding intervals, as described in the IsolateDetect methodology. 
The IsolateDetect method and its algorithm is described in "Detecting multiple generalized changepoints by isolating single ones", A. Anastasiou & P. Fryzlewicz (2021), Metrika, https://doi.org/10.1007/s00184021008216.
An S3 object of class cptpath
, which contains the following fields:
solutions.nested 

solution.path 
Locations of possible changepoints in the mean of 
solution.set 
Empty list 
x 
Input vector 
cands 
Matrix of dimensions length( 
method 
The method used, which has value "idetect" here 
A. Anastasiou & P. Fryzlewicz (2021). Detecting multiple generalized changepoints by isolating single ones. Metrika, https://doi.org/10.1007/s00184021008216.
sol.idetect_seq
, sol.not
, sol.wbs
, sol.wbs2
, sol.tguh
,
r3 < rnorm(1000) + c(rep(0,300), rep(2,200), rep(4,300), rep(0,200))
sol.idetect(r3)