March 18th, 2013
· The list output of the MackChainLadder function now includes the parameter risk and process risk breakdowns of the total risk estimate for the sum of projected losses across all origin years by development age.
· The Mack Method's recursive parameter risk calculation now enables Dr. Mack's original two-term formula (the default) and optionally the three-term formula found in Murphy's 1994 paper and in the 2006 paper by Buchwalder, Buhlmann, Merz, and Wuthrich.
· A few more Mack Method examples.
November 14th, 2012NEW FEATURES:
· The function "getLatestCumulative" adds attributes to the result
· names = origin (rownames) from the Triangle
· rowsname = name of row dimension of Triangle
· colnames = dev (colnames) from Triangle
· colsname = name of the column dimension of Triangle
· The function has an additional argument, na.values, a vector of values (e.g., zero) that are synonymous with NA when searching for the rightmost non-NA value
· as.triangle.data.frame now aggregates multiple data.frame records when more than one (origin, dev) observation is found (the previous version took the first observation).
· The vignette has been updated with sections on Multivariate chain-ladder, Clark's method and Generalised linear model methods
· MunichChainLadder no longer accepts triangles with more rows than columns as the function is not laid out for such data sets yet. Thanks to Ben Escoto for highlighting this issue.
September 7th, 2012NEW FEATURES:
· Started writing a vignette. The current version is still draft and far from complete. Feedback will be much appreciated.
· Removed .Internal call to make ChainLadder compliant with R 2.15.0
· Changed argument "t" in plot.triangle to "type" in order to be consistent with plot.default
· as.triangle() gave triangles back, with development periods not ordered, when the input data frame had unordered development periods in different units, e.g. dev=c(1,100,10)