lcmm() in R Error: Numerical problem by computing fn value of function is : NaN

Question

My data frame filtered_gmmdf_long (long format) has no NA. It contains the variables ID, time (i.e. 0, 3, 8, 15, 25), and wblv (continuous, approximately Normal distributed).

Sample data

library(dplyr)
sample = as.data.frame(matrix(data = c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4,                      0,3,8,15,25,0,3,8,15,25,0,3,8,15,25,0,3,8,15,25,
                             -0.0924870160,0.0274498752,0.2398900582,
                             0.1422529358,
                             0.1440320863,-0.0869990920,0.1423375351,
                            -0.239953000,-0.2378607918,0.1893095329,
                            0.0470979475,0.0681092844,0.0643890367,
                            -0.1299717236,0.0284062668,0.0249408593,
                            0.2341043359,0.0866213575,0.1003340839,
                            0.2721473565),ncol = 3))|>
  mutate(ID = V1, time = V2, wblv = V3)|>
  select(-starts_with("V"))

I am attempting to fit a simple growth model using lcmm() from package {lcmm} before conducting growth mixture models using the same function. I am able to fit models with hlme() fine but am unable to fit even the basic growth model with lcmm().

Attempt

# gmm1b<-hlme(wblv~time,subject="ID",var.time="time",random=~1+time,
#            ng=1,data=filtered_gmmdf_long)
###This works properly
# gmm2b<-gridsearch(rep=100,maxiter=10,minit=gmm1,
#                  hlme(wblv~time,subject="ID",random=~1+time,
#                       ng=2,data=filtered_gmmdf_long,mixture=~time))
###This also works properly
> lcmm1<-lcmm::lcmm(wblv~time,random=~time,subject="ID",
+            data=filtered_gmmdf_long,link='linear',ng=1)

resulting in the error

Numerical problem by computing fn value of function is : NaN

Originally I tried to do this with my entire dataset (n=3255) but I switched to complete responses only (n=873) after receiving this message. I also verified that all variables are identified as either numeric or categorical (with the exception of ID).

Based on I_O's comment,I have also tried the following:

> lcmm1<-gridsearch(rep=100,maxiter=10,minit=gmm1b,
+                   lcmm(wblv~time,random=~time,subject="ID",
+                        data=filtered_gmmdf_long,link='linear',ng=1))

Error in lcmm(wblv ~ time, random = ~time, subject = "ID", data = filtered_gmmdf_long, : The model specified in B should be of class lcmm

> lcmm1<-gridsearch(rep=100,maxiter=10,minit=as.vector(coef(gmm1b)),
+                   lcmm(wblv~time,random=~time,subject="ID",
+                        data=filtered_gmmdf_long,link='linear',ng=1))

Error in minit$conv : $ operator is invalid for atomic vectors

> lcmm1<-lcmm(wblv~time,random=~time,subject="ID",
+             data=filtered_gmmdf_long,B=as.vector(coef(gmm1b)),
+             link='linear',ng=1)

Error in chol.default(varcov) : the leading minor of order 2 is not positive definite

I also tried rescaling wblv such that there were no negative values. Using wblv_rescale, I was able to run the standard growth model, but received an error when attempting to run a 2-class growth mixture model.

lcmm1<-lcmm(wblv_rescale~time,random=~time,subject="ID",
            data=filtered_gmmdf_long,
            link='linear',ng=1)
summary(lcmm1)
###This works properly with wblv_rescale but not wblv
> lcmm2<-lcmm(wblv_rescale~time,subject="ID",random=~time,mixture=~time,
+             data=filtered_gmmdf_long,
+             link='linear',ng=2)

Error in .Contlcmm(fixed = fixed, mixture = mixture, random = random, : Please specify initial values with argument 'B'