diffusion is now released under LGPLv2.1. The previous version under
GPL(>=2) can be downloaded from here:
https://github.com/mamut86/diffusion/releases/tag/v0.3.1
Version 0.3.1 [2024-03-30]
changes
new automated removal of leading and trailing NAs. Error abort if NA
within series
new search optimisation argument (multisol)
new option to partially fix/optimise parameters w in both diffusion
and seqdiffusion
new bootloss argument to control fo r different loss function of the
bootstrapping
added documentation for tsMetal.RData
added internal sum squared error function for the optimiser
added passing optim setting int trough Gompertz and GSGompertz
initialisation
added error handling for optimx function
renamed argument l to loss (for l-norm selection)
renamed argument x to y (the response variable)
renamed argument optim to method (the optimiser selection)
introduced argument initpar to allow manual initialisation, preset
and automatic
introduced argument mscal to scale market potential for better
optimisation results
introduced argument bootloss to choose from different loss function
for bootstraps
changed non-critical warnings to type message, to allow easy
suppression
is.diffusion() and is.bass() functions
renamed option variable l to loss (for l-norm selection)
renamed option variable x to y (the response variable)
updated documentation for diffusion() - Thx Ivan!
removed tsBroadband dataset due to data privacy concerns
new search optimisation option
bugfixes
issues with log errors - reverted error measure to v.0.2.7 for the
time being
fixed an initalisation issue on the weibull model
fixed titles for graphs
fixed typo in documentation for predict function
fixed fcst table to contain same number as horizons
fixed number of parameters that go into G/GS (only relevant if w.idx
is active)
fixed error when plot.seqdiffusion() was used with cleanlead =
F
fixed error in gompertz when cleanlead = F
fixed the tsmetal issue - the object now has the correct name
fixed error when plotting ts-object with cumulative = F
fixed an error when eliminate was TRUE with 0 pval reps to
stop.
fixed the sequential diffusion pval elimination process
fixed error when linearization fails and reverting now to
preset
fixed error when bootstrapping produced NA now ignoring NA and
warning.
included error check for pvalreps in seqdiffusion
included error check for y to be vector or ts-object / matrix or mts
for seqdiffusion
included a revert method in case optimization fails and warning
messages
Version 0.3.0 [2018-04-30]
changes
added Weibull curve
Changed the optimisation errors to log
Version 0.2.7 [2018-01-05]
changes
update description file
Version 0.2.6 [2018-01-05]
bugfixes
fixed dataset urls
Version 0.2.5 [2018-01-04]
changes
updated naming for datasets
merged examples into main code
Version 0.2.4.001
[2018-01-04]
changes
renamed sgompertz function to gsgompertz to reflect the correct name
Gamma/Shifted Gompertz
fixed some missing functions in norton-bass function
Fixed roxygen2 documentation
Fixed datasets
Added difcurve function to produce curves for given parameters
Reintroduced predict, print and plot functions for diffusion
objects
Created new diffusion class for outputs of diffusion()
Hidden (until fixed) seqdiffusion and norton-bass
Version 0.2.3 [2017-05-27]
changes
Added method predict() for diffusion models
Added maxiter and tolerance option control
New option np in predict() which allows to generate new product
forecasts with 0 data
bugfixes
Fixed print issue for Gompertz
Version 0.2.2 [2017-05-16]
changes
Updated some of the documentation so it contains information about
the new optim = parameter
introducing optim paramter choice to allow for Nelder-Mead or
Hooke-Jeeves method
bugfixes
Fixed various RoxyGen2 issues and
Fixed plotting issue
Added print and plot to Namespace
Version 0.2.1 [2017-04-11]
changes
Updated some of the documentation so it includes details about
parameter order of S-Gompertz
Replaced if statements with switches where necessary - closing Issue
#1
Updated the optimisation process. This should give better results
but still not perfect
Added better commented for diffusionPlot() function - closing Issue
#2
Open tasks in News depreciated and now tracking them with Issues on
github
All the parameter optimisation are now using Subplex algorithm from
the nloptr package
bugfixes
In diffusion() When providing w, pval length was not using the right
parameter
Several small variable name errors due to the integration
Version 0.2.0 [2017-04-05]
changes
Introducing shifted-gompertz model to the diffusion() function
bugfixes
Some typo in the print out function fixed
carstock.RData file should now be available
Version 0.1.0 [2017-03-30]
changes
Depreciating function Bass() and Gompertz()
Introducing function diffusion() and seqdiffusion (kindly donated by
N. Kourentzes)
Added dataset safari
Added dataset windows
Added cost function for Norton-Bass model
Included curve fitting into Nortonbass() function
Added curve fitting ability and insample error estimation for the
Gompertz curve
Added data “broadband”
Added curve fitting and insample error estimation for Norton-Bass
model