nuget
Container for zeta diversity model fitting results.
ZetaFitResult
01 Syntax
SMRUCC.genomics.Analysis.Metagenome.ZetaDiversity.ZetaFitResult
02 Properties
| Name | Overloads | Summary |
|---|---|---|
| ModelName | 1 | Model name: "PowerLaw", "Exponential", or "Linear" |
| ParameterA | 1 | Parameter a (intercept/initial value). |
| ParameterB | 1 | Parameter b (decay/turnover rate). |
| R2 | 1 | Coefficient of determination (0 to 1, higher is better) |
| SSE | 1 | Sum of squared errors |
| AIC | 1 | Akaike Information Criterion (lower is better) |
| AICc | 1 | Corrected AIC for small samples (lower is better) |
| BIC | 1 | Bayesian Information Criterion (lower is better) |
| PredictedValues | 1 | Predicted zeta values from the fitted model |
| IsValid | 1 | Whether the fit was successful |
03 Members
ModelName
Model name: "PowerLaw", "Exponential", or "Linear"
ParameterA
Parameter a (intercept/initial value). For PowerLaw: ζᵢ = a · i^(-b) For Exponential: ζᵢ = a · exp(-b·(i-1)) For Linear: ζᵢ = a - b·(i-1)
ParameterB
Parameter b (decay/turnover rate). Higher b indicates faster species turnover.
R2
Coefficient of determination (0 to 1, higher is better)
SSE
Sum of squared errors
AIC
Akaike Information Criterion (lower is better)
AICc
Corrected AIC for small samples (lower is better)
BIC
Bayesian Information Criterion (lower is better)
PredictedValues
Predicted zeta values from the fitted model
IsValid
Whether the fit was successful