Package: apc Version: 2.0.0 Date: 2020-09-28 -------------------------------------------------- CHANGES in version 2.0.0 2020-09-28 Improvements apc.indiv... functions for cross sectional analysis updated functions now accommodate panel data and data with survey weights var.apc.plot.fit subsumed into apc.plot.fit var.apc.identify subsumed into apc.identify apc.plot.fit options added -------------------------------------------------- CHANGES in version 1.3.5 2019-11-21 Improvements is.triangle triangle.cummulative triangle.incremental commands on triangular matrices using in chainladder data arrays -------------------------------------------------- CHANGES in version 1.3.4 2019-11-18 Improvements apc.forecast added option for log normal forecasting in ac/chainladder data array -------------------------------------------------- CHANGES in version 1.3.3 2018-08-27 Improvements apc.indiv... procedures for cross sectional analysis added -------------------------------------------------- CHANGES in version 1.3.2 2018-08-15 Bugs apc.fit.model standard errors incorrect for odel.family="od.poisson.response","poisson.response" Improvements apc.data.sums added option of truncating incomplete sequences apc.plot.data.sums added option of reporting averages/sums added option of truncating incomplete sequences Documentation apc.fit.model clearified that other identifications can be achieved by apc.identify -------------------------------------------------- CHANGES in version 1.3.1 2017-05-07 Bugs apc.data.list.subset recoded. bug in coding of per.zero for AC arrays. apc.identify scaling by deviance added for model.family="od.poisson.response" set sdv=NA not sdv=0 for intercept for model.family="od.poisson.response","poisson.response" changed apc.plot.fit accordingly Improvements apc.plot.data.sparsity additional option swap.axes apc.plot.fit options to include/exclude plots of linear plane and double differences Documentation apc.data.list default value for age1,per1,coh1 clearified apc.plot.fit default value for main.sub clearified -------------------------------------------------- CHANGES in version 1.3 Improvements apc.fit.model model.family="od.poisson.response" added, uses "quasipoisson" family apc.fit.table model.family="od.poisson.response" added apc.forecast.apc new apc.plot.data.within can take averages or sums apc.data.sums can take averages or sums Bugs apc.data.list defaults for time labels fixed model.design.reference option added. apc.plot.fit.pt dependent variable corrected for gaussian.rates -------------------------------------------------- CHANGES in version 1.2 New functions apc.forecast.ac distribution forecasts for model.family="poisson.response" model.design="AC" Improvements apc.data.list.subset Generates row and column names for trapezoid data matrix Warning adjusted Bugs apc.get.index default for time.adjust fixed calculation of coh1 adjusted for "AP" and "PA" -------------------------------------------------- CHANGES in version 1.1.2 Bugs data.loss.VNJ counts fixed -------------------------------------------------- CHANGES in version 1.1.1 New functions apc.plot.data.level level plot of data apc.plot.data.within now plotting only one combination apc.plot.data.within.all.six apc.plot.fit.residuals level plot of residuals apc.plot.fit.linear.predictors level plot of linear predictors apc.plot.fit.fitted.values level plot of fitted.values apc.plot.fit.all Documentation apc.data.list.Rd Example of generating labels of data matrix To do: Discuss what the labels of the data matrix do Perhaps make labels of data matrix automatic? Improvements apc.data.list Generates row and column names for data matrices when none have been provided. Bugs apc.plot.data.within Legend fixed -------------------------------------------------- CHANGES in version 1.1 New functions vector.2.triangle: For input of reserving triangles recorded in vector form Data format "CL.as.vector" then dropped data.loss.BZ: Reserving triangle data.loss.TA: Reserving triangle data.loss.VNJ: Reserving triangle New vignettes Identification NewDesign Improvements apc.plot.data.sparsity now allows for NA observations swap order of age axis for "CL" apc.plot.fit.pt swap order of age axis for "CL" apc.plot.fit Rd rewritten apc.identify Rd rewritten Bugs apc.plot.fit Constant in panel (e) corrected apc.fit.model model.design="P" corrected apc.identify Constant for type "detrend" corrected apc.data.list Input check for data.format "CL" and "CL.as.vector" corrected