Comments (5)
Also, for a stanreg
object, shinystan should just call posterior_predict
rather than asking the user to select the name of the posterior predictions.
from shinystan.
Yes, good call. I will put this in the next release. Thoughts on particular
pp checking plots for rstanarm models?
If I really wanted to put some time into it I could have
shinystan automatically adjust various settings and plots for the different
rstanarm models using the info in the stanreg object to classify the model.
On Thursday, August 13, 2015, bgoodri [email protected] wrote:
Also, for a stanreg object, shinystan should just call posterior_predict
rather than asking the user to select the name of the posterior predictions.—
Reply to this email directly or view it on GitHub
#67 (comment).
from shinystan.
I don't really know; start with just making it possible to do something
with a stanreg
object because it is not going to have a drop-down entry
for y_rep. Rather than investing a lot of time customizing for stanreg
objects, it seems that you could do a fair amount of reasonable
customization just based on the class of the dependent variable.
On Thu, Aug 13, 2015 at 8:23 PM, Jonah Gabry [email protected]
wrote:
Yes, good call. I will put this in the next release. Thoughts on particular
pp checking plots for rstanarm models?If I really wanted to put some time into it I could have
shinystan automatically adjust various settings and plots for the different
rstanarm models using the info in the stanreg object to classify the model.On Thursday, August 13, 2015, bgoodri [email protected] wrote:
Also, for a stanreg object, shinystan should just call posterior_predict
rather than asking the user to select the name of the posterior
predictions.—
Reply to this email directly or view it on GitHub
<#67 (comment)
.—
Reply to this email directly or view it on GitHub
#67 (comment).
from shinystan.
Yeah, definitely. Recognizing the dependent variable type and selecting the
content accordingly is one of the things I've been wanting to do.
On Thu, Aug 13, 2015 at 8:27 PM, bgoodri [email protected] wrote:
I don't really know; start with just making it possible to do something
with astanreg
object because it is not going to have a drop-down entry
for y_rep. Rather than investing a lot of time customizing forstanreg
objects, it seems that you could do a fair amount of reasonable
customization just based on the class of the dependent variable.On Thu, Aug 13, 2015 at 8:23 PM, Jonah Gabry [email protected]
wrote:Yes, good call. I will put this in the next release. Thoughts on
particular
pp checking plots for rstanarm models?If I really wanted to put some time into it I could have
shinystan automatically adjust various settings and plots for the
different
rstanarm models using the info in the stanreg object to classify the
model.On Thursday, August 13, 2015, bgoodri [email protected] wrote:
Also, for a stanreg object, shinystan should just call
posterior_predict
rather than asking the user to select the name of the posterior
predictions.—
Reply to this email directly or view it on GitHub
<
#67 (comment)
.—
Reply to this email directly or view it on GitHub
<#67 (comment)
.—
Reply to this email directly or view it on GitHub
#67 (comment).
from shinystan.
At a minimum, a stanreg
object can store its y in a canonical form for
each type of model so it is easy to use if shinystan knows those forms.
On Thu, Aug 13, 2015 at 8:37 PM, Jonah Gabry [email protected]
wrote:
Yeah, definitely. Recognizing the dependent variable type and selecting the
content accordingly is one of the things I've been wanting to do.On Thu, Aug 13, 2015 at 8:27 PM, bgoodri [email protected] wrote:
I don't really know; start with just making it possible to do something
with astanreg
object because it is not going to have a drop-down entry
for y_rep. Rather than investing a lot of time customizing forstanreg
objects, it seems that you could do a fair amount of reasonable
customization just based on the class of the dependent variable.On Thu, Aug 13, 2015 at 8:23 PM, Jonah Gabry [email protected]
wrote:Yes, good call. I will put this in the next release. Thoughts on
particular
pp checking plots for rstanarm models?If I really wanted to put some time into it I could have
shinystan automatically adjust various settings and plots for the
different
rstanarm models using the info in the stanreg object to classify the
model.On Thursday, August 13, 2015, bgoodri [email protected]
wrote:Also, for a stanreg object, shinystan should just call
posterior_predict
rather than asking the user to select the name of the posterior
predictions.—
Reply to this email directly or view it on GitHub
<
#67 (comment)
.—
Reply to this email directly or view it on GitHub
<
#67 (comment)
.—
Reply to this email directly or view it on GitHub
<#67 (comment)
.—
Reply to this email directly or view it on GitHub
#67 (comment).
from shinystan.
Related Issues (20)
- use posterior package for handling draws HOT 2
- Check for R version 4.0 HOT 1
- selectizeInput for estimates statistics instead of checkboxGroupInput HOT 1
- Default for "max_treedepth"/"max_td" (11) incorrect? HOT 4
- Add support for CmdStanR objects HOT 3
- diagnostics page doesn't load if `stan_used=FALSE`? HOT 1
- Suppress messages when packages are loaded
- how to raise limit above 1000 parameters? HOT 3
- Shiny stan do not work in ubuntu (tested in ubuntu 20.04 and 16.04 both LTS versions)
- variables missing from drop-down HOT 5
- Problem with LaTeX table: ErrorL subscription out of bounds HOT 6
- Latex for graphs like stan_ac, stan_dens, and others HOT 3
- Rocker script?
- Problem with missing themes HOT 13
- Flickering when selecting parameters on page "ESTIMATE"
- gtools is orphaned - Consider a replacement?
- Issue when launching shinystan demo
- launch_shinystan error message
- toggle view for `exp(param)' ?
- Running ‘testthat.R’/opt/local/Library/Frameworks/R.framework/Resources/bin/BATCH: line 60: 98584 Bus error HOT 5
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from shinystan.