Function dnorm

dnorm<T extends Vectorizable>(
x: T,
options?: { log?: boolean; mean?: number; sd?: number },
): VectorResult<T>
Density of the normal distribution. Equivalent to R's dnorm(x, mean = 0, sd = 1, log = FALSE).
Type Parameters
- T extends Vectorizable
Parameters
- x: T
  Value(s) at which to evaluate: a number, number[] or Float64Array. The result has the same shape.
- options: { log?: boolean; mean?: number; sd?: number } = {}
  Distribution parameters and output scale.
  - Optionallog?: boolean
    
    If true, return the log density. Default false.
  - Optionalmean?: number
    
    Mean. Default 0.
  - Optionalsd?: number
    
    Standard deviation. Default 1.
Returns VectorResult<T>
The density (or log density).
Example
```
dnorm(0);                                  // 0.3989422804014327
dnorm([-1, 0, 1]);                         // [0.24197072451914337, 0.3989422804014327, 0.24197072451914337]
dnorm(1, { mean: 1, sd: 2, log: true });   // -1.612085713764618
```
- Defined in distributions/normal.ts:183