## S3 method for class 'SingleArrayUnitModel':
fit(this, arrays=NULL, units="remaining", ..., force=FALSE, verbose=FALSE)
NULL
, all arrays are considered.
If remaining
, only non-fitted arrays are considered.NULL
, all units are considered.
If remaining
, only non-fitted units are considered.*readUnits()
.TRUE
, already fitted units are re-fitted, and
cached data is re-read.Verbose
.The parameter estimates specific to each array, typically "chip effects", are stored in array specific files.
Array-specific estimates [K = nbr of arrays]: theta [K doubles] (chip effects), sd(theta) [K doubles], isOutlier(theta) [K logicals]
For each array and each unit group, we store: 1 theta, 1 sd(theta), 1 isOutlier(theta), i.e. (float, float, bit) => For each array and each unit (with $G_j$ groups), we store: $G_j$ theta, $G_j$ sd(theta), $G_j$ isOutlier(theta), i.e. $G_j$*(float, float, bit).
SingleArrayUnitModel
.