I have put up a github repository for the nnfor package for R: https://github.com/trnnick/nnfor I will be putting updates and fixes there, before they are pushed on CRAN. You can also report there bugs. You can install the current github version with: Related PostsDiscussion panel on ‘AI in research’ at Skövde OR62 -The quest for… Read More »
A new package for analysing and forecasting intermittent demand time series and slow moving items has been release for R. You can download the latest version from CRAN. The launch version contains the following functions: crost: Croston’s method and variants. crost.ma: Moving average with Croston’s method decomposition. idclass: Time series categorisation for intermittent demand. simID:… Read More »
This is a collection of functions for time series analysis/modelling for R. Follow link to GitHub. If you need help installing this package in R have a look at this post. Alternatively just type in R the following commands: > if (!require(“devtools”)) install.packages(“devtools”) > devtools::install_github(“trnnick/TStools”) At the time of posting the following functions are included:… Read More »
MAPA code for R is available on CRAN. An online interactive demo of MAPA can be found here. Here is a quick demonstration what you can do with the code. The easiest way to produce a forecast with MAPA is to use the mapasimple function. > mapasimple(admissions) t+1 t+2 t+3 t+4 t+5 t+6 t+7 t+8… Read More »