update ssm qmd and workflows

Author: SvenKlaassen

.github/workflows/ssm_sim.yml

@@ -17,8 +17,8 @@ jobs:
     strategy:
       matrix:
         script: [
-          'scripts/irm/ssm_mar_ate_coverage.py',
-          'scripts/irm/ssm_nonignorable_ate_coverage.py',
+          'scripts/ssm/ssm_mar_ate.py',
+          'scripts/ssm/ssm_nonig_ate.py',
         ]
 
     steps:
@@ -73,7 +73,7 @@ jobs:
 
     - name: Commit any existing changes
       run: |
-        git add results/irm
+        git add results/ssm
         git commit -m "Update results from script: ${{ matrix.script }}" || echo "No changed results to commit"
 
     - name: Wait random time

doc/ssm/ssm_mar.qmd

@@ -30,7 +30,7 @@ The simulations are based on the [make_ssm_data](https://docs.doubleml.org/stabl
 
 ```{python}
 #| echo: false
-metadata_file = '../../results/irm/ssm_mar_ate_coverage_metadata.csv'
+metadata_file = '../../results/ssm/ssm_mar_ate_metadata.csv'
 metadata_df = pd.read_csv(metadata_file)
 print(metadata_df.T.to_string(header=False))
 ```
@@ -42,7 +42,7 @@ print(metadata_df.T.to_string(header=False))
 #| echo: false
 
 # set up data and rename columns
-df = pd.read_csv("../../results/irm/ssm_mar_ate_coverage.csv", index_col=None)
+df = pd.read_csv("../../results/ssm/ssm_mar_ate_coverage.csv", index_col=None)
 
 assert df["repetition"].nunique() == 1
 n_rep = df["repetition"].unique()[0]

doc/ssm/ssm_nonignorable.qmd

@@ -31,7 +31,7 @@ The simulations are based on the [make_ssm_data](https://docs.doubleml.org/stabl
 ```{python}
 #| echo: false
 #| collapse: true
-metadata_file = '../../results/irm/ssm_nonignorable_ate_coverage_metadata.csv'
+metadata_file = '../../results/ssm/ssm_nonig_ate_metadata.csv'
 metadata_df = pd.read_csv(metadata_file)
 print(metadata_df.T.to_string(header=False))
 ```
@@ -42,7 +42,7 @@ print(metadata_df.T.to_string(header=False))
 #| echo: false
 
 # set up data and rename columns
-df = pd.read_csv("../../results/irm/ssm_nonignorable_ate_coverage.csv", index_col=None)
+df = pd.read_csv("../../results/ssm/ssm_nonig_ate_coverage.csv", index_col=None)
 
 assert df["repetition"].nunique() == 1
 n_rep = df["repetition"].unique()[0]