diff --git a/examples/config.pkl b/examples/config.pkl
new file mode 100644
index 0000000..3d66d85
Binary files /dev/null and b/examples/config.pkl differ
diff --git a/examples/example_slurm.sh b/examples/example_slurm.sh
index b091dd4..4d4115b 100644
--- a/examples/example_slurm.sh
+++ b/examples/example_slurm.sh
@@ -16,4 +16,4 @@ module load Miniconda3
 eval "$(conda shell.bash hook)"
 conda activate cpm
 
-python cpm_analysis.py --results_directory "" --data_directory "" --config_file "" perm_run $SLURM_ARRAY_TASK_ID
+python cpm_analysis.py --results_directory "./tmp/slurm" --data_directory "./simulated_data/" --config_file "./config.pkl" perm_run $SLURM_ARRAY_TASK_ID
diff --git a/examples/save_config.py b/examples/save_config.py
index d5d9a95..6bf1aca 100644
--- a/examples/save_config.py
+++ b/examples/save_config.py
@@ -20,7 +20,7 @@
                     cv_edge_selection=ShuffleSplit(n_splits=1, test_size=0.2, random_state=42),
                     add_edge_filter=True,
                     n_permutations=100)
-cpm.save_configuration(config_filename='./tmp/config.pkl')
+cpm.save_configuration(config_filename='./config.pkl')
 
 cpm_remote = CPMRegression(results_directory='./tmp/example_simulated_data2')
 cpm_remote.load_configuration(results_directory='./tmp/example_simulated_data3',
diff --git a/setup.cfg b/setup.cfg
index ca0c80f..dce84a8 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -24,6 +24,7 @@ install_requires =
     pingouin
     streamlit
     nilearn
+    typer
 
 [options.packages.find]
 where = src
\ No newline at end of file