[R-sig-ME] The criteria of MLRA parameter
h@@y|m73 @end|ng |rom out|ook@com
Fri Mar 29 15:45:37 CET 2019
Thank you for your kind feedback and gentle reminder concerning regulation of the topic discussion.
I want to ask again, is there a link, for-learning the command of each parameter below using R software?
The Median Odds Ratio (MOR),
80% Interval Odds Ratio (80% IOR),
The proportion of Odds Ratios of opposite direction (POOR),
Intraclass Correlation Coefficient (ICC),
the Proportional Change of the Variance (PCV), and
The area under the receiver operating characteristic curve (AU-ROC)
Thank you very much for offering to help out with this case for improving my knowledge to create the syntax of each parameter use R. I appreciate your willingness to assist.
On Fri, 29 Mar 2019 at 04:10, Jeff Newmiller <jdnewmil using dcn.davis.ca.us<mailto:jdnewmil using dcn.davis.ca.us>> wrote:
This request is not about R. Therefore it is off-topic on this mailing list. In general, forum participants don't typically enjoy playing the part of a dictionary or textbook, so even referring you to a statistics forum like stats.stackexchange.com<http://stats.stackexchange.com> would not be doing you or them any favors. Please do some reading and if you have questions about statistical concepts then consider asking those directed questions on stats.stackexchange.com<http://stats.stackexchange.com>.
On March 28, 2019 7:07:07 AM PDT, hasyim hasyim <hasyim73 using outlook.com<mailto:hasyim73 using outlook.com>> wrote:
>Could you please explain this in detail to me the criteria of each
>parameter below that use in multilevel regression logistic analysis
>(MLRA) such as:
>the Median Odds Ratio (MOR),
>80% Interval Odds Ratio (80% IOR),
>Proportion of Odds Ratios of opposite direction (POOR),
>Intraclass Correlation Coefficient (ICC),
>the Proportional Change of the Variance (PCV), and
>Area under the receiver operating characteristic curve (AU-ROC)
>Thank you, I really appreciate your help.
> [[alternative HTML version deleted]]
>R-sig-mixed-models using r-project.org<mailto:R-sig-mixed-models using r-project.org> mailing list
Sent from my phone. Please excuse my brevity.
R-sig-mixed-models using r-project.org<mailto:R-sig-mixed-models using r-project.org> mailing list
[[alternative HTML version deleted]]
More information about the R-sig-mixed-models