Description
metric-1d: metric based variance model functions in one dimension.
Usage
exp(x, init=NA, dist=NA) expv(x, init=NA, dist=NA) exph(x, init=NA, dist=NA) gau(x, init=NA, dist=NA) gauv(x, init=NA, dist=NA) gauh(x, init=NA, dist=NA) lvr(x, init=NA, dist=NA) lvrv(x, init=NA, dist=NA) lvrh(x, init=NA, dist=NA)
Arguments
x |
An object in data. |
init |
An optional vector of initial values (power parameters followed by variance parameters) with an optional names attribute from the set {P, U, F} specifying the boundary constraint as positive, unconstrained or fixed, respectively. |
dist |
Optional numeric vector of coordinates (distances). If missing then the distances are obtained as unique(obj). |
Details
Includes one dimensional exponential, gaussian and linear variance power models (exp, gau, lvr).
Functions
asr_expv: |
Homogeneous variance form. |
asr_exph: |
Heterogeneous variance form. |
asr_gau: |
Gaussian power model. |
asr_gauv: |
Gaussian power model, homogeneous variance form. |
asr_gauh: |
Gaussian power model, heterogeneous variance form. |
asr_lvr: |
Linear variance model. |
asr_lvrv: |
Linear variance model, homogeneous variance form. |
asr_lvrh: |
Linear variance model, heterogeneous variance form. |