Version 1.10 (15 July 2022) * Fixed checks on classes. * Updated links. * Fixed bug in crost.R and crost.ma.R when checking number of parameters to optimise. Bug did not cause issues before. * Updated DESCRIPTION. Version 1.9 (10 March 2016) * Provide vectors of non-zero demand and intervals for crost.R and crost.ma.R. * Change the variable name of demand rate in crost.ma.R to "cc" Version 1.8 (23 September 2015) * Added "auto" method in data.frc. This selected and uses Croston, SBA and SES automatically for each time series, based on PKa classification (idclass function). * Changed classification to PKa instead of PK with prespecified alpha for imapa. Note that data.frc with method="auto" and imapa with maximumAL=1 give the same results, but the data.frc is faster. Use imapa when temporal aggregation is desirable. * Added check on crost.decomp and idclass when input is a data frame. * Added warning on functions that handle single time series when data frames with more that a single column are used as inputs. Version 1.7 (17 September 2015) * Added function data.frc. This is a wrapper to forecast data frames with a single command. * Added option to remove NA values in all forecasting methods. * simID now outputs different series as columns in a data frame. Version 1.6 (17 February 2015) * Added separate function crost.decomp for Croston decomposition. Version 1.5 (20 November 2014) * Corrected optimisation error in crost.ma. Version 1.4 (03 October 2014) * Added more time series checks for crost and imapa functions. * Revised default maximumAL in imapa to be floor(number of observations/2). * Changed default CV^2 in simID function to 0.5. Version 1.3 (04 August 2014) * Corrected major optimisation bug - issue with opt.on in all crost, tsb and sexsm functions. * Corrected bug in imapa function when maximumAL was very high. * Corrected bugs in the legend of imapa function plots. * Added option to optimise only initial values without parameters in crost, tsb and sexsm functions. * Added init.opt option for imapa in the same way as it is for crost and tsb functions. This does not affect SES optimisation. * Added option to use pre-fitted imapa models. Version 1.2 (16 July 2014) * Introduced imapa function for intermittent demand series. * Added MAPA package dependency for temporal aggregation functions. * Added parallel package dependency for imapa parallelisation. Version 1.1 (03 July 2014) * Added SES function (sexsm.R) with control over parameter & initialisation. * Added URL in description. * Renamed data and data2 to ts.data1 and ts.data2. * Forced type input to lowercase. Version 1.0 (23 June 2014) * First release.