Ecosyste.ms: Issues
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GitHub / NErler/JointAI issues and pull requests
#17 - Error: Variables of type “labelled” can not be handled.
Issue -
State: open - Opened by jlhanson5 4 months ago
#16 - Error in 'is.nan().
Issue -
State: open - Opened by jenniejester 8 months ago
#15 - JointAI glm_imp() stops working if logistf package is loaded
Issue -
State: open - Opened by SiljeHS 11 months ago
#14 - Could we get the slope or a cumulative effec in JointAI
Issue -
State: open - Opened by amirabadiza921 about 1 year ago
#13 - Bug fix for tibbles
Pull Request -
State: open - Opened by johnsonra almost 2 years ago
#12 - Error when passing tibble
Issue -
State: open - Opened by johnsonra almost 2 years ago
- 2 comments
#11 - current value+slope value in JointAI package?
Issue -
State: closed - Opened by amirabadiza921 almost 2 years ago
- 1 comment
#10 - there is no package called ‘jointAI’
Issue -
State: closed - Opened by KentSLDES about 2 years ago
- 1 comment
#9 - could not find function "joint"
Issue -
State: closed - Opened by KentSLDES about 2 years ago
- 3 comments
#8 - Error in is.nan(data[, k]) : default method not implemented for type 'list'
Issue -
State: closed - Opened by amirabadiza921 over 2 years ago
- 1 comment
#7 - Impute specific values?
Issue -
State: closed - Opened by harryparr over 2 years ago
- 1 comment
#6 - JM_imp() for binary longitudinal data and right-censored multistate survival data
Issue -
State: closed - Opened by axinaxia over 2 years ago
- 1 comment
#5 - Does JM_imp() have different functional_forms?
Issue -
State: closed - Opened by mikoSL over 2 years ago
- 2 comments
#4 - 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')”.
Issue -
State: closed - Opened by bbb801 almost 3 years ago
- 1 comment
#3 - Get imputation values for survival model
Issue -
State: closed - Opened by bbb801 almost 3 years ago
- 3 comments
#2 - handling a lot of variables at the same time and do purely imputation
Issue -
State: closed - Opened by YushuShi over 3 years ago
- 1 comment
#1 - JM_imp(); example for unbalanced longitudinal multinomial logit models
Issue -
State: closed - Opened by Erfanit64 over 4 years ago
- 1 comment