diff --git a/R/class_clv_model_bgnbd.R b/R/class_clv_model_bgnbd.R
index 90c836fc..24bd8336 100644
--- a/R/class_clv_model_bgnbd.R
+++ b/R/class_clv_model_bgnbd.R
@@ -16,7 +16,17 @@ clv.model.bgnbd.no.cov <- function(){
              fn.model.generic = bgnbd,
              names.original.params.model = c(r="r", alpha="alpha", a="a", b="b"),
              names.prefixed.params.model = c("log.r", "log.alpha", "log.a", "log.b"),
-             start.params.model = c(r=1, alpha = 3, a = 1, b = 3)))
+             start.params.model = c(r=1, alpha = 3, a = 1, b = 3),
+             optimx.defaults = list(
+               method = "L-BFGS-B",
+               itnmax  = 5000,
+               control = list(
+                 kkt = TRUE,
+                 save.failures = TRUE,
+                 # Do not perform start tests because it checks the scales with max(logpar)-min(logpar)
+                 #   but all standard start parameters are <= 0, hence there are no logpars what
+                 #   produces a warning
+                 starttests = FALSE))))
 }
 
 # Methods --------------------------------------------------------------------------------------------------------------------------------
diff --git a/R/class_clv_model_gg.R b/R/class_clv_model_gg.R
index 2db34c11..7eaf034d 100644
--- a/R/class_clv_model_gg.R
+++ b/R/class_clv_model_gg.R
@@ -17,17 +17,16 @@ clv.model.gg <- function(){
              names.original.params.model = c(p="p", q="q", gamma="gamma"),
              names.prefixed.params.model = c(log.p="log.p", log.q="log.q", log.gamma="log.gamma"),
              start.params.model          = c(p=1, q=1, gamma=1),
-             optimx.defaults = list(method = "L-BFGS-B",
-                                    itnmax  = 3000,
-                                    # upper  = c(log(10000),log(10000),log(10000)),
-                                    # lower  = c(log(0),log(0),log(0)),
-                                    control = list(
-                                      kkt = TRUE,
-                                      save.failures = TRUE,
-                                      # Do not perform starttests because it checks the scales with max(logpar)-min(logpar)
-                                      #   but all standard start parameters are <= 0, hence there are no logpars what
-                                      #   produces a warning
-                                      starttests = FALSE))))
+             optimx.defaults = list(
+               method = "L-BFGS-B",
+               itnmax  = 5000,
+               control = list(
+                 kkt = TRUE,
+                 save.failures = TRUE,
+                 # Do not perform start tests because it checks the scales with max(logpar)-min(logpar)
+                 #   but all standard start parameters are <= 0, hence there are no logpars what
+                 #   produces a warning
+                 starttests = FALSE))))
 }
 
 # Methods --------------------------------------------------------------------------------------------------------------------------------
diff --git a/R/class_clv_model_ggomnbd_nocov.R b/R/class_clv_model_ggomnbd_nocov.R
index e6beee1c..06223b5d 100644
--- a/R/class_clv_model_ggomnbd_nocov.R
+++ b/R/class_clv_model_ggomnbd_nocov.R
@@ -16,16 +16,16 @@ clv.model.ggomnbd.no.cov <- function(){
              names.original.params.model = c(r="r", alpha="alpha", b="b", s="s", beta="beta"),
              names.prefixed.params.model = c("log.r","log.alpha", "log.b", "log.s", "log.beta"),
              start.params.model          = c(r=0.5, alpha=2, b=0.1, s=1, beta=0.1),
-             optimx.defaults = list(method = "L-BFGS-B",
-                                    itnmax  = 5000,
-                                    control = list(
-                                      kkt = TRUE,
-                                      all.methods = FALSE,
-                                      save.failures = TRUE,
-                                      # Do not perform starttests because it checks the scales with max(logpar)-min(logpar)
-                                      #   but all standard start parameters are <= 0, hence there are no logpars what
-                                      #   produces a warning
-                                      starttests = FALSE))))
+             optimx.defaults = list(
+               method = "L-BFGS-B",
+               itnmax  = 5000,
+               control = list(
+                 kkt = TRUE,
+                 save.failures = TRUE,
+                 # Do not perform start tests because it checks the scales with max(logpar)-min(logpar)
+                 #   but all standard start parameters are <= 0, hence there are no logpars what
+                 #   produces a warning
+                 starttests = FALSE))))
 }
 
 # Methods --------------------------------------------------------------------------------------------------------------------------------
diff --git a/R/class_clv_model_pnbd.R b/R/class_clv_model_pnbd.R
index 36183227..041725f9 100644
--- a/R/class_clv_model_pnbd.R
+++ b/R/class_clv_model_pnbd.R
@@ -19,17 +19,16 @@ clv.model.pnbd.no.cov <- function(){
              names.original.params.model = c(r="r", alpha="alpha", s="s", beta="beta"),
              names.prefixed.params.model = c("log.r","log.alpha", "log.s", "log.beta"),
              start.params.model          = c(r=0.5, alpha=15, s=0.5, beta=10),
-             optimx.defaults = list(method = "L-BFGS-B",
-                                    # lower   = c(log(1*10^(-5)),log(1*10^(-5)),log(1*10^(-5)),log(1*10^(-5))),
-                                    # upper   = c(log(300),log(2000),log(300),log(2000)),
-                                    itnmax  = 3000,
-                                    control = list(
-                                      kkt = TRUE,
-                                      save.failures = TRUE,
-                                      # Do not perform starttests because it checks the scales with max(logpar)-min(logpar)
-                                      #   but all standard start parameters are <= 0, hence there are no logpars what
-                                      #   produces a warning
-                                      starttests = FALSE))))
+             optimx.defaults = list(
+               method = "L-BFGS-B",
+               itnmax  = 5000,
+               control = list(
+                 kkt = TRUE,
+                 save.failures = TRUE,
+                 # Do not perform start tests because it checks the scales with max(logpar)-min(logpar)
+                 #   but all standard start parameters are <= 0, hence there are no logpars what
+                 #   produces a warning
+                 starttests = FALSE))))
 }
 
 
diff --git a/R/class_clv_model_pnbd_dynamiccov.R b/R/class_clv_model_pnbd_dynamiccov.R
index 2d669d83..0f4deb8f 100644
--- a/R/class_clv_model_pnbd_dynamiccov.R
+++ b/R/class_clv_model_pnbd_dynamiccov.R
@@ -18,7 +18,7 @@ clv.model.pnbd.dynamic.cov <- function(){
              name.model       = "Pareto/NBD with Dynamic Covariates",
              # Overwrite optimx default args
              optimx.defaults  = list(method = "Nelder-Mead",
-                                     itnmax = 3000,
+                                     itnmax = 50000,
                                      control = list(
                                        kkt = TRUE,
                                        save.failures = TRUE,