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The second issue in #159, the `CaseOutstanding()` method can only hand "Approach 1", as demonstrated by [Friedland](https://www.casact.org/sites/default/files/database/studynotes_friedland_estimating.…
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The various projection methods currently implemented don't seem to handle incomplete triangles out of the box. It would be very useful if they did.
E.g. I'm looking at an example where I have some…
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Unit testing some code and came across this example:
`MackChainLadder(auto$PersonalAutoIncurred,alpha=2,tail=TRUE)`
I believe this set-up produces unrealistic MackS.E.s
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Hi,
I'm actualy trying to add some missing reserving models to the package. Is there some norms that all models should implement to be considered as viable models for Triangles ?
I've heard about …
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Hi,
I use googleVis_0.4.7 (in other Org Chart) to publish the taxonomy of risk solvency2 (about it thank you for the latest version of ChainLadder). One of the feature is to display the correlation m…
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**Is your feature request related to a problem? Please describe.**
within the default development class, ata selections (drop, n_period, etc.) is performed via a fixed order. custom order is not poss…
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Hi there,
I'm wondering if it would be ok to bump up the latest version of numba?
It's causing versioning issues as Chainladder is incompatible with Numpy 2.1
So, if one has the latest numpy …
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Hi all
I have a recurring issue with installing R-packages and using them in BERT functions. Below is one example; segMGarch works at my local R installation, but BERT will not install it.
Warni…
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abc = cl.load_sample('abc')
len(abc.origin)
len(abc.development)
len(abc.valuation)
model = cl.BarnettZehnwirth(formula='C(origin)+C(development)+C(valuation)').fit(abc)
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BootstrapODPSample creates samples with negative loss amounts. This leads to negative ldfs, cdfs and ultimates. There should be a way to keep samples with positive losses only.