You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello, this is my first post on GitHub, so apologies if this is not what the Issues section is meant for. Please feel free to redirect me elsewhere if there is a better place to ask this question. I am attempting to fit a DDM to data from a go/no-go task, where during no-go trials, the correct response was for the participant to not respond and let the trial timeout. This has resulted in most no-go trials have a response time of 0. I have not been able to successfully implement the choiceRT_ddm function with this data. I have tried to fit a model with only Go trial data, but receive errors in that approach. I was able to fit a model by replacing 0 response times with random values between 0.1 and 0.9, so I know that it is an issue with my data and not a computational issue. Is there an approach in hBayesDM that can handle censored data like I have in my dataset? Or handle a single choice DDM looking at only the Go trials? Thanks!
The text was updated successfully, but these errors were encountered:
Hello, this is my first post on GitHub, so apologies if this is not what the Issues section is meant for. Please feel free to redirect me elsewhere if there is a better place to ask this question. I am attempting to fit a DDM to data from a go/no-go task, where during no-go trials, the correct response was for the participant to not respond and let the trial timeout. This has resulted in most no-go trials have a response time of 0. I have not been able to successfully implement the choiceRT_ddm function with this data. I have tried to fit a model with only Go trial data, but receive errors in that approach. I was able to fit a model by replacing 0 response times with random values between 0.1 and 0.9, so I know that it is an issue with my data and not a computational issue. Is there an approach in hBayesDM that can handle censored data like I have in my dataset? Or handle a single choice DDM looking at only the Go trials? Thanks!
The text was updated successfully, but these errors were encountered: