The function get_wc_icpt() prepares a vector of the intercepts
of the worst case batches of all the regression models fitted to the data.
get_wc_icpt(data, batch_vbl, icpt_list, poi_list, wc_batch, xform)A named vector of the intercepts of the worst case batches is returned.
A data frame with the columns specified by response_vbl,
time_vbl and batch_vbl.
A character string that specifies the column in data
with the grouping information (i.e. a factorial variable) for the
differentiation of the observations of the various batches.
A list of four elements named cics, dics,
dids.pmse and dids with the intercepts of each linear
regression model and batch. The cics, dics and
dids.pmse elements are NA if data of only a single batch
is available.
A list of four elements named cics, dics,
dids.pmse and dids with the points of intersection (POI)
of each linear regression model and batch. The cics, dics
and dids.pmse elements are NA if data of only a single
batch is available.
A numeric vector of the indices of the worst case batches
of each model type, i.e. a vector of four elements named cics,
dics, dids.pmse and dids. The cics element
is NA because in the “common intercept / common slope” model
the data from different batches is pooled.
A vector of two character strings that specifies the
transformation of the response and the time variable. The default is
“no” transformation, i.e. c("no", "no"), where the first
element specifies the transformation of the \(x\) variable and the
second element the transformation of the \(y\) variable. Valid
alternatives for \(x\) and/or \(y\) variable transformation are
"log" (natural logarithm), "sqrt" (square root) and
"sq" (square).
The function get_wc_icpt() extracts the worst case batches
from the list of intercepts (icpt_list), given that the estimation
of the corresponding POIs (poi_list) was successful.
get_icpt_list, get_poi_list,
get_osle_poi_list, get_wisle_poi_list,
expirest_osle, expirest_wisle.