foreach package environmental error: "'rho' must be an environment not promise

I'm running an R script for Markov Chain Monte Carlo with parallelization on for loops using "foreach" R package. I have been trying to run it for about 20000 iterations. But, after several thousand iterations, it stops with the following error.

Error in { : task 217 failed - "'rho' must be an environment not promise: detected in C-level eval"

It appears on different occasions within the for loop. For example, if I run the same code several times, at one time it may appear in 3000th iteration, but at another time it may appear in the 2000th iteration.

Here's a part of the code with the for loop that produced the error this time.

u1i_i <- foreach(j = 1:Ni, .combine = 'c', .inorder = T, .packages = "dplyr") %dopar% { df_i <- subset(df, pid == pt[j]) f_u1i(beta10 = beta10[i-1], beta11 = beta11[i-1], tau1sq = tau1sq[i], sigma1sq = sigma1sq[i], w1ij = w1ij_i_1[ni_l[j]:ni_u[j]], B1ij = B1ij_i_1[ni_l[j]:ni_u[j]], u1i = u1i_i_1[j], beta20 = beta20[i-1], beta21 = beta21[i-1], w2ij = w2ij_i_1[ni_l[j]:ni_u[j]], B2ij = B2ij_i_1[ni_l[j]:ni_u[j]], u2i = u2i_i_1[j], gamma_h01 = gamma_h01[i-1], gamma_h02 = gamma_h02[i-1], gamma1 = gamma1[i-1], a1 = a1[i-1], a2 = a2[i-1], b1 = b1[i-1], b2 = b2[i-1], y1ij = df_i$FEV1, x1ij = df_i[c("timeSince_t0")], ni = ni[j], df_t_Ti = df_t_Ti[ni_l[j]:ni_u[j],], Ti = s_df$timeSince_t0[j], omegai = s_df[j,"omegai"], deltai = s_df$event[j], sd_u1i_star = 0.1) }

f_u1i - function which takes values from parameters updated in the previous iteration (i-1) and in this iteration (i).

The complete code is too long to share.

My OS is, macOS Big Sur Version 11.3, processor is Apple M1 chip, and RAM is 8 GB.

RevolutionAnalytics / foreach

foreach package environmental error: "'rho' must be an environment not promise #32