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Standard Errors for fitted values and predictions are incorrect for linear models with weights and glms #52

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merliseclyde opened this issue Sep 10, 2020 · 0 comments
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Standard Errors for fitted values and predictions are incorrect for linear models with weights and glms #52

merliseclyde opened this issue Sep 10, 2020 · 0 comments
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Standard errors for the regressions function and fitted values do not account for weights in calculating the standard errors bas lm objects and bas glm objects. Need to incorporate the weights in calculations the leverage values.

Added unit test to testthat for package.
@merliseclyde merliseclyde changed the title Standard Errors for fitted values and predictions are incorrect for linear models with weights and gloms Standard Errors for fitted values and predictions are incorrect for linear models with weights and glms Sep 10, 2020
merliseclyde added a commit that referenced this issue Nov 10, 2020
@merliseclyde
* missing mean.x in GLMs caused predict to error when `se.fit = T…
c47f2d8 
…RUE` [Issue #50](#50)

* Prediction under the MPM failed with GLMs [Issue #51](#51)

close #50
close #51

issue #52 regarding SE still open!
@merliseclyde merliseclyde self-assigned this Nov 9, 2022
@merliseclyde merliseclyde mentioned this issue Nov 9, 2022
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