wes-brooks repart issues - Githubissues

wes-brooks / repart

classification trees for categorical outcomes with random effects in R

MIT License

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Split on multinomial variables

#16 wes-brooks closed 4 years ago
0
`aic_split` doesn't actually use AIC

#15 wes-brooks opened 4 years ago
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`fitted.repart` doesn't work under partykit framework

#14 wes-brooks closed 4 years ago
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Make class of a fitted tree `repart`

#13 wes-brooks closed 4 years ago
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Order residuals by something more reliable than rowname

#12 wes-brooks opened 4 years ago
0
Residual calculations on logit scale

#11 wes-brooks opened 4 years ago
1
Get residuals from the fitted tree object

#10 wes-brooks closed 4 years ago
1
Constrain random effects to sum to zero within a blocking variable

#9 wes-brooks opened 4 years ago
0
Estimate the random-effects from the tree residuals

#8 wes-brooks opened 4 years ago
1
Turn the fitted tree into a `partykit`tree

#7 wes-brooks closed 4 years ago
2
Use splitting criteria other than entropy

#6 wes-brooks closed 4 years ago
5
Split on continuous variables

#5 wes-brooks closed 4 years ago
3
Write minimal documentation for `do_split()` function

#4 wes-brooks closed 4 years ago
1
Write minimal documentation for `test_split()` function

#3 wes-brooks closed 4 years ago
0
create minimal documentation of `make_tree()` function

#2 wes-brooks closed 4 years ago
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Create minimal documentation of `entropy()` function

#1 wes-brooks closed 4 years ago
0