Chainladder

Latest version: v0.8.23

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0.1.44

* Minor changes to reflect a more rigours package build process for
R >= 2.14.0
* Start up message uses now packageStartupMessage rather than cat to
allow the message to be suppressed.

0.1.43

New Features

* ClarkLDF and ClarkCapeCod functions were reorganized to clarify
the delivery and presentation of the methods' results
- Individual components now contain distinct values within
Clark's methodologies
- 'summary' methods produce "reports" that display results in
the form of typical loss development and Bornhuetter-Ferguson
exhibits
- "Table" functions now produce the results as shown in the
tables on pp. 64, 65 and 68 of Clark's paper
- A 'vcov' method produces the covariance matrix of the
estimated parameters
* An 'ata' function exists to calculate the "age-to-age" development
factors of a loss "triangle", as well as the simple and volume
weighted averages

0.1.42

Bug fixes

* The TruncatedGrowth function value under the Clark Cape Cod method
was incorrectly printed in the Table68 data.frame when the
calculations were to be based on the average date of loss (argument
adol=TRUE). The underlying calculations used the correct adol
adjustment, only the printed output was incorrect.

0.1.41

New Features

* ClarkLDF and ClarkCapeCod functions: additional functionality
- Clark's methods now work for "one-row triangles" -- i.e.,
loss experience from only one origin period
- Clark's methods work for "phase-shifted" triangles -- i.e.,
triangles whose first age does not coincide with the end of
the origin period. Example: accident year origin periods with
September 30th evaluation dates.

* A 'vcov' method now exists to produce the covariance matrix of the
estimated parameters using the approach in Clark's paper

* Additional values (in lists) returned by Clark's methods:
- FI = Fisher Information matrix as Clark defines it in his
paper (i.e., without the sigma^2 value)
- dR = the gradient of the reserves function evaluated at the
optimal parameter values
- value = value of the log-likelihood function at the solution
- counts = number of evaluations of the log likelihood and its
derivative before convergence

* Fine-tuning of maximum likelihood numerical algorithm's control
parameters
- Enable more consistent convergence properties between R's
32-bit and 64-bit environments
- Initial starting values for the weibull function were
adjusted for successful convergence across a wider set of
triangles
- Upper bounds introduced for "L-BFGS-B" maximum likelihood
method to bound weibull away from unity at too early an age

* If the solution is found at the boundary of the parameter region,
it is conceivable that a "more optimal" solution might exist if the
boundary constraints were not as conservative, so a warning is given

Bug fixes

* The parameters returned by the methods were the scaled versions;
they now at their original scales.


* The loss development factor (LDF) being returned by ClarkCapeCod
was not documented

0.1.40

New Features

* New implementation of the methods in David Clark's "LDF Curve
Fitting" paper in the 2003 Forum by Daniel Murphy.

- Includes LDF and CapeCod methods (functions 'ClarkLDF' and
'ClarkCapeCod', respectively)
- Programmed to handle log-logistic and weibull growth functions
- Printing an object returned by the function results in a
table similar to that on p. 65 of the paper
- Plotting such an object results in four residual plots,
including a Q-Q plot with the results of the Shapiro-Wilk
test

0.1.34

Bug fixes

* 'residuals.MackChainLadder': Zero weights applied to
MackChainLadder caused an error. Thanks to Ernesto Schirmacher for
reporting this bug.

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