Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
An error is produced when running InputCollect <- robyn_inputs(InputCollect = InputCollect, hyperparameters = hyperparameters)
Provide reproducible example
>> Running feature engineering...
Error in if (is.finite(resvar) && resvar < (mean(f)^2 + var(c(f))) * 1e-30) warning("essentially perfect fit: summary may be unreliable") :
missing value where TRUE/FALSE needed
In addition: Warning message:
In `-.integer64`(y, z$residuals) : NAs produced by integer64 overflow
Environment & Robyn version
Make sure you're using the latest Robyn version before you post an issue.
Check and share Robyn version: packageVersion("Robyn")
> packageVersion('Robyn')
[1] ‘3.10.3’
R version (Please, check and share: sessionInfo() or R.version$version.string)
> R.version$version.string
[1] "R version 4.3.2 (2023-10-31)"
Project Robyn
Describe issue
An error is produced when running
InputCollect <- robyn_inputs(InputCollect = InputCollect, hyperparameters = hyperparameters)
Provide reproducible example
Environment & Robyn version
Make sure you're using the latest Robyn version before you post an issue.
Check and share Robyn version:
packageVersion("Robyn")
R version (Please, check and share:
sessionInfo()
orR.version$version.string
)