Merge branch 'hotfix/fix-examples-for-python'

CCS-Lab · Sep 1, 2019 · 4ada82c · 4ada82c
2 parents 8281d79 + 48939ab
commit 4ada82c
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diff --git a/Python/hbayesdm/models/_bandit2arm_delta.py b/Python/hbayesdm/models/_bandit2arm_delta.py
@@ -186,11 +186,11 @@ def bandit2arm_delta(
 
         - ``model``: String value that is the name of the model ('bandit2arm_delta').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm2_kalman_filter.py b/Python/hbayesdm/models/_bandit4arm2_kalman_filter.py
@@ -193,11 +193,11 @@ def bandit4arm2_kalman_filter(
 
         - ``model``: String value that is the name of the model ('bandit4arm2_kalman_filter').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm_2par_lapse.py b/Python/hbayesdm/models/_bandit4arm_2par_lapse.py
@@ -189,11 +189,11 @@ def bandit4arm_2par_lapse(
 
         - ``model``: String value that is the name of the model ('bandit4arm_2par_lapse').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm_4par.py b/Python/hbayesdm/models/_bandit4arm_4par.py
@@ -191,11 +191,11 @@ def bandit4arm_4par(
 
         - ``model``: String value that is the name of the model ('bandit4arm_4par').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm_lapse.py b/Python/hbayesdm/models/_bandit4arm_lapse.py
@@ -193,11 +193,11 @@ def bandit4arm_lapse(
 
         - ``model``: String value that is the name of the model ('bandit4arm_lapse').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm_lapse_decay.py b/Python/hbayesdm/models/_bandit4arm_lapse_decay.py
@@ -195,11 +195,11 @@ def bandit4arm_lapse_decay(
 
         - ``model``: String value that is the name of the model ('bandit4arm_lapse_decay').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bandit4arm_singleA_lapse.py b/Python/hbayesdm/models/_bandit4arm_singleA_lapse.py
@@ -191,11 +191,11 @@ def bandit4arm_singleA_lapse(
 
         - ``model``: String value that is the name of the model ('bandit4arm_singleA_lapse').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_bart_par4.py b/Python/hbayesdm/models/_bart_par4.py
@@ -194,11 +194,11 @@ def bart_par4(
 
         - ``model``: String value that is the name of the model ('bart_par4').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_cgt_cm.py b/Python/hbayesdm/models/_cgt_cm.py
@@ -202,11 +202,11 @@ def cgt_cm(
 
         - ``model``: String value that is the name of the model ('cgt_cm').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_choiceRT_ddm.py b/Python/hbayesdm/models/_choiceRT_ddm.py
@@ -195,11 +195,11 @@ def choiceRT_ddm(
 
         - ``model``: String value that is the name of the model ('choiceRT_ddm').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_choiceRT_ddm_single.py b/Python/hbayesdm/models/_choiceRT_ddm_single.py
@@ -195,11 +195,11 @@ def choiceRT_ddm_single(
 
         - ``model``: String value that is the name of the model ('choiceRT_ddm_single').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_cra_exp.py b/Python/hbayesdm/models/_cra_exp.py
@@ -196,11 +196,11 @@ def cra_exp(
 
         - ``model``: String value that is the name of the model ('cra_exp').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_cra_linear.py b/Python/hbayesdm/models/_cra_linear.py
@@ -196,11 +196,11 @@ def cra_linear(
 
         - ``model``: String value that is the name of the model ('cra_linear').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_dbdm_prob_weight.py b/Python/hbayesdm/models/_dbdm_prob_weight.py
@@ -201,11 +201,11 @@ def dbdm_prob_weight(
 
         - ``model``: String value that is the name of the model ('dbdm_prob_weight').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_dd_cs.py b/Python/hbayesdm/models/_dd_cs.py
@@ -193,11 +193,11 @@ def dd_cs(
 
         - ``model``: String value that is the name of the model ('dd_cs').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_dd_cs_single.py b/Python/hbayesdm/models/_dd_cs_single.py
@@ -193,11 +193,11 @@ def dd_cs_single(
 
         - ``model``: String value that is the name of the model ('dd_cs_single').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_dd_exp.py b/Python/hbayesdm/models/_dd_exp.py
@@ -191,11 +191,11 @@ def dd_exp(
 
         - ``model``: String value that is the name of the model ('dd_exp').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_dd_hyperbolic.py b/Python/hbayesdm/models/_dd_hyperbolic.py
@@ -191,11 +191,11 @@ def dd_hyperbolic(
 
         - ``model``: String value that is the name of the model ('dd_hyperbolic').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_dd_hyperbolic_single.py b/Python/hbayesdm/models/_dd_hyperbolic_single.py
@@ -191,11 +191,11 @@ def dd_hyperbolic_single(
 
         - ``model``: String value that is the name of the model ('dd_hyperbolic_single').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_gng_m1.py b/Python/hbayesdm/models/_gng_m1.py
@@ -192,11 +192,11 @@ def gng_m1(
 
         - ``model``: String value that is the name of the model ('gng_m1').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_gng_m2.py b/Python/hbayesdm/models/_gng_m2.py
@@ -194,11 +194,11 @@ def gng_m2(
 
         - ``model``: String value that is the name of the model ('gng_m2').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_gng_m3.py b/Python/hbayesdm/models/_gng_m3.py
@@ -197,11 +197,11 @@ def gng_m3(
 
         - ``model``: String value that is the name of the model ('gng_m3').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_gng_m4.py b/Python/hbayesdm/models/_gng_m4.py
@@ -199,11 +199,11 @@ def gng_m4(
 
         - ``model``: String value that is the name of the model ('gng_m4').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         - ``model_regressor``: Dict holding the extracted model-based regressors.
 
     Examples

diff --git a/Python/hbayesdm/models/_igt_orl.py b/Python/hbayesdm/models/_igt_orl.py
@@ -195,11 +195,11 @@ def igt_orl(
 
         - ``model``: String value that is the name of the model ('igt_orl').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_igt_pvl_decay.py b/Python/hbayesdm/models/_igt_pvl_decay.py
@@ -193,11 +193,11 @@ def igt_pvl_decay(
 
         - ``model``: String value that is the name of the model ('igt_pvl_decay').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_igt_pvl_delta.py b/Python/hbayesdm/models/_igt_pvl_delta.py
@@ -193,11 +193,11 @@ def igt_pvl_delta(
 
         - ``model``: String value that is the name of the model ('igt_pvl_delta').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_igt_vpp.py b/Python/hbayesdm/models/_igt_vpp.py
@@ -201,11 +201,11 @@ def igt_vpp(
 
         - ``model``: String value that is the name of the model ('igt_vpp').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples

diff --git a/Python/hbayesdm/models/_peer_ocu.py b/Python/hbayesdm/models/_peer_ocu.py
@@ -197,11 +197,11 @@ def peer_ocu(
 
         - ``model``: String value that is the name of the model ('peer_ocu').
         - ``all_ind_pars``: Pandas DataFrame containing the summarized parameter values
-            (as specified by ``ind_pars``) for each subject.
+          (as specified by ``ind_pars``) for each subject.
         - ``par_vals``: OrderedDict holding the posterior samples over different parameters.
         - ``fit``: A PyStan StanFit object that contains the fitted Stan model.
         - ``raw_data``: Pandas DataFrame containing the raw data used to fit the model,
-            as specified by the user.
+          as specified by the user.
         
 
     Examples