Description Usage Arguments Value See Also Examples
View source: R/sensmixedControl.R
Construct control structures for sensmixed
function.. All arguments
have defaults, and can be grouped into
mixed assessor model (MAM) parameters (are only used if MAM = TRUE in the sensmixed
function)
model analysis specifications
1 2 3 4 5 6 7 |
MAM_mult_scaling |
logical. Whether multiple scaling should be used. This option is not fully investigated (recommened is FALSE) |
MAM_oneway_rand |
logical. Whether there should be just one |
MAM_balanced |
logical. if |
MAM_adjusted |
logical. should MAM be adjusted for the scaling (is only used if |
MAM_alpha_conditional |
logical. scaling should be part of the model in case its p-value
is less than |
calc_post_hoc |
logical. Should the post hoc analysis be performed for the attributes |
reduce.random |
logical. Eliminate non-significant random effects according to alpha.random or not. The default is TRUE |
keep.effs |
a vector with the names which effects should be kept in a model (even if non-significant). By default the assessor effect and interaction between assessor and highest order product effects are always kept. |
alpha.random |
significance level for elimination of the random part (for LRT test) |
alpha.fixed |
significance level for elimination of the fixed part (for F test) |
interact.symbol |
symbol for the indication of the interaction between effects (for presenting in tables and plots). the default is ":". |
parallel |
logical. Should the computation be done in parallel for the attributes (saves computational time). the default is FALSE |
The sensmixedControl
function returns a list containing
mixed assessor model fitting related control parameters (are used only if
MAM=TRUE
in the sensmixed
function).
control parameters for the analysis.
sensmixed
1 |
List of 8
$ mamControl :List of 5
..$ MAM_mult_scaling : logi FALSE
..$ MAM_oneway_rand : logi FALSE
..$ MAM_balanced : logi FALSE
..$ MAM_adjusted : logi FALSE
..$ MAM_alpha_conditional: num 1
$ calc_post_hoc : logi FALSE
$ parallel : logi FALSE
$ reduce.random : logi TRUE
$ alpha.random : num 0.1
$ alpha.fixed : num 0.05
$ interact.symbol: chr ":"
$ keep.effs : NULL
- attr(*, "class")= chr "sensmixedControl"
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