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Is it worth to rewrite simPop from scratch to allow both: cluster structures and no cluster structures. In my opinion: yes, very worth to do it.
First task could be to use some data set to synthesize without receiving errors. Eg. one data set with age and sex structure but without weights and clusters
library(lavaan)
data(HolzingerSwineford1939)
library(simPop)
X$weight <- 1 # should not be needed
X$grade <- factor(X$grade) # should basically numeric input, but wont work
inp <- specifyInput(data = X, hhid = "school", weight = "weight", strata = "school") # should work without specifying hhid and weight
pop <- simStructure(data=inp, method="direct", basicHHvars=c("sex", "ageyr"))
pop <- simCategorical(pop, additional = "grade", nr_cpus = 1) # error, also when grade is used as numeric with `simContinuos`.
pop <- simContinuous(pop, additional = "x1", nr_cpus = 1, method = "multinom") # errors for all methods
The text was updated successfully, but these errors were encountered:
Not always there is a cluster structure (like person in households). Currently, one has to set
hhid
.So,
Thus we can't produce synthetic data without cluster structure.
Is it worth to rewrite simPop from scratch to allow both: cluster structures and no cluster structures. In my opinion: yes, very worth to do it.
First task could be to use some data set to synthesize without receiving errors. Eg. one data set with age and sex structure but without weights and clusters
The text was updated successfully, but these errors were encountered: