NErler/JointAI

Issues

• Error: Variables of type “labelled” can not be handled.

  #17 opened a month ago by jlhanson5
  0

• Error in 'is.nan().

  #16 opened 5 months ago by jenniejester
  0

• JointAI glm_imp() stops working if logistf package is loaded

  #15 opened 9 months ago by SiljeHS
  0

• Could we get the slope or a cumulative effec in JointAI

  #14 opened 10 months ago by amirabadiza921
  0

• Error when passing tibble

  #12 opened 2 years ago by johnsonra
  2

• current value+slope value in JointAI package?

  #11 opened 2 years ago by amirabadiza921
  1

• could not find function "joint"

  #9 opened 2 years ago by KentSLDES
  3

• there is no package called ‘jointAI’

  #10 opened 2 years ago by KentSLDES
  1

• Error in is.nan(data[, k]) : default method not implemented for type 'list'

  #8 opened 2 years ago by amirabadiza921
  1

• JM_imp() for binary longitudinal data and right-censored multistate survival data

  #6 opened 2 years ago by axinaxia
  1

• Impute specific values?

  #7 opened 2 years ago by harryparr
  1

• Does JM_imp() have different functional_forms?

  #5 opened 2 years ago by mikoSL
  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 opened 2 years ago by bbb801
  1

• Get imputation values for survival model

  #3 opened 2 years ago by bbb801
  3

• handling a lot of variables at the same time and do purely imputation

  #2 opened 3 years ago by YushuShi
  1

• JM_imp(); example for unbalanced longitudinal multinomial logit models

  #1 opened 3 years ago by Erfanit64
  1