Statistics
Namespace: Angara
Nested types and modules
| Type | Description |
| Distribution | |
| MT19937 | |
| qsummaryType | |
| summaryType |
| Module | Description |
| Serialization |
Functions and values
| Function or value | Description |
correlation x y
Signature: x:float [] -> y:float [] -> float
|
|
dct rxs
Signature: rxs:float [] -> float []
|
Descrete cosine transform. |
draw gen d
Signature: gen:MT19937 -> d:Distribution -> float
|
|
e
Signature: float<MeasureOne>
|
natural logarithm base |
fft xs
Signature: xs:Complex [] -> Complex []
|
Fast Fourier transform. |
histogram_ n xmin xmax xs
Signature: n:int -> xmin:float -> xmax:float -> xs:seq<float> -> int []
|
|
idct rxs
Signature: rxs:float [] -> float []
|
Inverse discrete cosine transform. |
ifft xs
Signature: xs:Complex [] -> Complex []
|
Inverse Fast Fourier Transform. |
improbable
Signature: float<MeasureOne>
|
The smallest positive normalized |
kde n0 xs
Signature: n0:int -> xs:seq<float> -> float [] * float []
|
Gaussian kernel density estimator for one-dimensional data, using the method of Botev et al. |
kde2 n0 min max sample
Signature: n0:int -> min:float -> max:float -> sample:seq<float> -> float [] * float []
|
Gaussian kernel density estimator for one-dimensional data, using the method of Botev et al. |
log_improbable
Signature: float<MeasureOne>
|
Logarithm of |
log_pdf d v
Signature: d:Distribution -> v:float -> float<MeasureOne>
|
Logarithm of a Probability Distribution Function |
log_tolerance
Signature: float<MeasureOne>
|
Logarithm of |
log2pi
Signature: float<MeasureOne>
|
1/2 * log 2π |
logistic x
Signature: x:float<MeasureOne> -> float<MeasureOne>
|
Sigmoidal function that maps [-infinity,infinity] interval onto [0,1] |
logit p
Signature: p:float<MeasureOne> -> float
|
Inverse logistic transform |
maxint
Signature: float<MeasureOne>
|
Maximum exact integer |
pi
Signature: float<MeasureOne>
|
π |
pi2
Signature: float<MeasureOne>
|
2π |
qsummary data
Signature: data:seq<float> -> qsummaryType
|
Produces quantile summary of the data. |
ridders tolerance (lb, ub) f
Signature: tolerance:float -> (lb:float * ub:float) -> f:(float -> float) -> float option
|
Root of a function using Ridders method. |
sqrt2pi
Signature: float<MeasureOne>
|
sqrt 2π |
summary data
Signature: data:seq<float> -> summaryType
|
Produces cumulant summary of the data using fast one-pass algorithm. |
tolerance
Signature: float<MeasureOne>
|
|
within ulps a b
Signature: ulps:uint32 -> a:float -> b:float -> bool
|
Approximate comparison of two double values.
Tolerance |
