Mack se recursion rewrite #53
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
tail and est.sigma
Before fitting loglinear regressions from which tail.se and/or tail.sigma will be predicted, check for the number of positive values of f.se and sigma.
Check only 1st element for Mack or log-linear
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
To address my new issue 15, I rewrote the MackRecursive.S.E to be row-wise r.t. column-wise. Now when a development age (column) has more than one row in the triangle whose latest value is at that age, the Mack statistics calculate correctly -- the values for the last two rows below are identical and the Mack.S.E value for the second row is no longer zero:
1 3,901,463 1.0000 3,901,463 0 0 NaN
2 5,339,085 0.9826 5,433,719 94,634 71,835 0.759
3 4,909,315 0.9127 5,378,826 469,511 119,474 0.254
4 4,588,268 0.8661 5,297,906 709,638 131,573 0.185
5 3,873,311 0.7973 4,858,200 984,889 260,530 0.265
6 3,691,712 0.7223 5,111,171 1,419,459 410,407 0.289
7 3,483,130 0.6153 5,660,771 2,177,641 557,796 0.256
8 2,864,498 0.4222 6,784,799 3,920,301 874,882 0.223
9 1,363,294 0.2416 5,642,266 4,278,972 970,960 0.227
10 344,014 0.0692 4,969,825 4,625,811 1,362,981 0.295
11 344,014 0.0692 4,969,825 4,625,811 1,362,981 0.295