bootConfInt {BIGL}  R Documentation 
Obtain confidence intervals for the raw effect sizes on every offaxis point and overall
bootConfInt(
Total,
idUnique,
bootStraps,
transforms,
respS,
B.B,
method,
CP,
reps,
n1,
cutoff,
R,
fitResult,
bootRS,
data_off,
posEffect = all(Total$effect >= 0),
transFun,
invTransFun,
model,
rescaleResids,
...
)
Total 
data frame with all effects and mean effects 
idUnique 
unique combinations of onaxis points, a character vector 
bootStraps 
precomputed bootstrap objects 
transforms 
Transformation functions. If nonnull, 
respS 
the observed response surface 
B.B 
Number of iterations to use in bootstrapping null distribution for either meanR or maxR statistics. 
method 
What assumption should be used for the variance of on and
offaxis points. This argument can take one of the values from

CP 
Prediction covariance matrix. If not specified, it will be estimated
by bootstrap using 
reps 
Numeric vector containing number of replicates for each offaxis
dose combination. If missing, it will be calculated automatically from output
of 
n1 
the number of offaxis points 
cutoff 
Cutoff to use in maxR procedure for declaring nonadditivity (default is 0.95). 
R 
Numeric vector containing mean deviation of predicted response
surface from the observed one at each of the offaxis points. If missing,
it will be calculated automatically from output of

fitResult 
Monotherapy (onaxis) model fit, e.g. produced by

bootRS 
a boolean, should bootstrapped response surfaces be used in the calculation of the confidence intervals? 
data_off 
data frame with off axis information 
posEffect 
a boolean, are effects restricted to be positive 
transFun 
the transformation and inverse transformation functions for the variance 
invTransFun 
the transformation and inverse transformation functions for the variance 
model 
The meanvariance model 
rescaleResids 
a boolean indicating whether to rescale residuals, or else normality of the residuals is assumed. 
... 
Further arguments that will be later passed to

A list with components
offAxis 
The offaxis bootstrapped confidence intervals 
single 
A mean effect and percentile and studentized boostrap intervals 