R version 4.4.0 alpha (2024-03-26 r86209 ucrt)
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Platform: x86_64-w64-mingw32/x64

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> 
> 
> if (FALSE) {
+   #setwd("tests")
+   rm(list = ls())
+   library(PAFit)
+   set.seed(1)
+   prob_m <- "FALSE"
+   inc    <- "FALSE"
+   log    <-  c("FALSE")
+   
+   M <- 5
+   
+   alpha_vec     <- rep(0,M)
+   s_vec         <- rep(0,M)
+   alpha_optimal <- rep(0,M)
+   r_optimal     <- rep(0,M)
+   for (i in 1:M) {
+       #set.seed(1)
+       net  <- generate_net(N = 1000, m = 50, num_seed = 500, 
+                           multiple_node = 50, alpha = 1,
+                           s = 5) 
+                           #shape = 1, rate = 1)
+   
+       net_stats    <- get_statistics(net) 
+   
+       print(result <- joint_estimate(net, net_stats))
+       
+       #result
+                       
+       alpha_vec[i]     <- result$estimate_result$alpha
+       s_vec[i]         <- result$estimate_result$shape
+       alpha_optimal[i] <- result$cv_result$alpha_optimal
+       r_optimal[i]     <- result$cv_result$r_optimal
+   }
+   print(alpha_vec)  
+   print(mean(alpha_vec))
+   print(s_vec)
+   print(mean(s_vec))
+ }
> 
> proc.time()
   user  system elapsed 
   0.18    0.09    0.21