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NErler
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JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
https://nerler.github.io/JointAI
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Error in 'is.nan().
#16
jenniejester
opened
3 months ago
0
JointAI glm_imp() stops working if logistf package is loaded
#15
SiljeHS
opened
6 months ago
0
Could we get the slope or a cumulative effec in JointAI
#14
amirabadiza921
opened
8 months ago
0
Bug fix for tibbles
#13
johnsonra
opened
1 year ago
0
Error when passing tibble
#12
johnsonra
opened
1 year ago
2
current value+slope value in JointAI package?
#11
amirabadiza921
closed
1 year ago
1
there is no package called ‘jointAI’
#10
KentSLDES
closed
1 year ago
1
could not find function "joint"
#9
KentSLDES
closed
1 year ago
3
Error in is.nan(data[, k]) : default method not implemented for type 'list'
#8
amirabadiza921
closed
1 year ago
1
Impute specific values?
#7
harryparr
closed
1 year ago
1
JM_imp() for binary longitudinal data and right-censored multistate survival data
#6
axinaxia
closed
1 year ago
1
Does JM_imp() have different functional_forms?
#5
mikoSL
closed
2 years ago
2
It is currently not possible to use “contr.poly” for incomplete categorical covariates. I will use “contr.treatment” instead. You can specify (globally) which types of contrasts are used by changing “options('contrasts')”.
#4
bbb801
closed
2 years ago
1
Get imputation values for survival model
#3
bbb801
closed
2 years ago
3
handling a lot of variables at the same time and do purely imputation
#2
YushuShi
closed
3 years ago
1
JM_imp(); example for unbalanced longitudinal multinomial logit models
#1
Erfanit64
closed
3 years ago
1