Closed ericycchan closed 4 months ago
This repository is for the r-pkg.org web site. I suggest you contact the package author.
Hi Gábor,
Thank you for your response and suggestions that I should contact the package author. That's exactly what I want to do, but I do not have the email address or url to some git hub for doing that. Would you be able to ask the author to contact me? I am working as a data scientist in a company called LA Care in Los Angeles. I would appreciate if you can help me contact the author.
Thanks, Eric @.***
From: Gábor Csárdi @.> Sent: Thursday, April 18, 2024 12:55 PM To: metacran/metacranweb @.> Cc: ericycchan @.>; Author @.> Subject: Re: [metacran/metacranweb] object 'y_name' not found even when 'y_name' is in model (Issue #126)
This repository is for the r-pkg.org web site. I suggest you contact the package author.
— Reply to this email directly, view it on GitHubhttps://github.com/metacran/metacranweb/issues/126#issuecomment-2065151167, or unsubscribehttps://github.com/notifications/unsubscribe-auth/ALYEFSH2GUPFDYABNVPXMGDY6AQLTAVCNFSM6AAAAABGN5PMNWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDANRVGE2TCMJWG4. You are receiving this because you authored the thread.
Click on the name of the maintainer at https://r-pkg.org/pkg/hdcate or see https://cran.rstudio.com/web/packages/hdcate/ or
❯ packageDescription("hdcate")$Maintainer
[1] "Qingliang Fan <michaelqfan@cuhk.edu.hk>"
Here is the output of
model
:When I tried to fit the model, the propensity score estimation and expectation values estimation were completed successfully, then it complains that
y_name
is not found. Ify_name
was not found, how could it do the two step estimations? And it's in the model any way. `` HDCATE.set_condition_var(model, 'diverse_code', min=-1, max=4, step=1) Updated conditional variable to: name=diverse_code, min=-1, max=4, step=1. HDCATE.fit(model) Use full-sample estimator. Start estimating model for propensity score, method=lasso Finish estimating propensity score. Start estimating conditional expectations, method=lasso Finish estimating conditional expectations. Start estimating HDCATE. Error in eval(object$call$formula) : object 'y_name' not found