Updating create_caltrack_daily_design_matrix

[laurenjanicke]

Report installed package versions

eemeter==4.0.5
pandas==1.5.3
scipy==1.10.1
numpy==1.24.3

Describe the bug
Running create_caltrack_daily_design_matrix(meter_data, temperature_data) doesn't create any cdd or hdd columns. This bug is due to missing arguments in the call to compute_temperature_features. Below is what the current call to compute_temperature_features looks like in create_caltrack_daily_design_matrix.

```python
>>> import eemeter
>>> import pandas as pd
>>> meter_data = pd.DataFrame({"start": ..., "value": ...})
>>> temperature_data = pd.DataFrame({"temp":...})
>>> eemeter.create_caltrack_daily_design_matrix(meter_data, temperature_data)
```

temperature_features = compute_temperature_features(
        meter_data.index,
        temperature_data,
        data_quality=True,
    )

Expected behavior
Documentation says that create_caltrack_daily_design_matrix should return design_matrix – A design matrics with mean usage_per_day, hdd_30-hdd_90, and cdd_30-cdd_90 features. Below is what the call to compute_temperature_features should be.

temperature_features = compute_temperature_features(
        meter_data.index,
        temperature_data,
        heating_balance_points=range(30, 91),
        cooling_balance_points=range(30, 91),
        data_quality=True,
    )