# KCheckResult


Result of basis dimension adequacy check for a single smooth.


Usage

``` python
KCheckResult(
    term_label,
    k_prime,
    edf,
    k_index,
    p_value,
)
```


## Attributes


`term_label: str`  
Human-readable label for the smooth term.

`k_prime: int`  
Basis dimension after identifiability constraints (upper bound on EDF).

`edf: float`  
Effective degrees of freedom for the smooth.

`k_index: float`  
Ratio of neighbor-differencing variance estimate to overall residual variance. Values well below 1 suggest `k` may be too small.

`p_value: float`  
Simulation-based p-value. Low values indicate the basis dimension may be inadequate.