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NErler / 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

Open jenniejester opened 3 months ago

jenniejester commented 3 months ago

Here is the error:

|.................... | 39% [unnamed-chunk-5] Error in is.nan(): ! default method not implemented for type 'list' Backtrace:

  1. JointAI::lme_imp(...)
  2. JointAI (local) <fn>(...)
  3. JointAI:::check_data(data, fixed, random, auxvars, timevar, mess)
  4. JointAI:::convert_variables(...)
  5. tibble:::[<-.tbl_df(*tmp*, is.nan(data[, k]), k, value = <lgl>)

Here is the code: lmimp1<- lme_imp(phqtotal~time_25 + treat + treat:time_25 + PHQBL + time_25:PHQBL+nonwhite +(1|id) +(1|cohort), data =rostlong1r)

Here is the result of lapply for my dataset:

View(rostlong1r) lapply(rostlong1r, class) $id [1] "numeric"

$phqtotal [1] "numeric"

$time_25 [1] "numeric"

$treat [1] "numeric"

$PHQBL [1] "numeric"

$nonwhite [1] "numeric"

$cohort [1] "numeric"