| metric-1D_vs {asreml} | R Documentation |
Metric-based variance models in one dimension.
Description
Metric-based variance structures in one dimension.
Includes one-dimensional exponential, gaussian and linear variance
power models (exp, gau, lvr).
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 |
init |
An optional vector of initial values (power parameters followed by
variance parameters) with an optional |
dist |
Optional numeric vector of coordinates (distances). If missing then
the distances are obtained as |
Functions
-
asr_exp(): Exponential (or power) model; correlation form. -
asr_expv(): Exponential (or power) model; homogeneous variance form. -
asr_exph(): Exponential (or power) model; heterogeneous variance form. -
asr_gau(): Gaussian power model; correlation form. -
asr_gauv(): Gaussian power model; homogeneous variance form. -
asr_gauh(): Gaussian power model; heterogeneous variance form. -
asr_lvr(): Linear variance model; correlation form. -
asr_lvrv(): Linear variance model; homogeneous variance form. -
asr_lvrh(): Linear variance model; heterogeneous variance form.