args_assess_dotdotdot: Complete list of assess()'s ... arguments

Description

A complete alphabetical list of all possible arguments accepted by assess()'s ... (dotdotdot) argument.

Arguments

.absolute: Logical. Should the absolute HTMT values be returned? Defaults to TRUE .
.alpha: An integer or a numeric vector of significance levels. Defaults to 0.05.
.ci: A vector of character strings naming the confidence interval to compute. For possible choices see infer().
.closed_form_ci: Logical. Should a closed-form confidence interval be computed? Defaults to FALSE.
.handle_inadmissibles: Character string. How should inadmissible results be treated? One of "drop", "ignore", or "replace". If "drop", all replications/resamples yielding an inadmissible result will be dropped (i.e. the number of results returned will potentially be less than .R). For "ignore" all results are returned even if all or some of the replications yielded inadmissible results (i.e. number of results returned is equal to .R). For "replace" resampling continues until there are exactly .R admissible solutions. Depending on the frequency of inadmissible solutions this may significantly increase computing time. Defaults to "drop".
.inference: Logical. Should critical values be computed? Defaults to FALSE.
.null_model: Logical. Should the degrees of freedom for the null model be computed? Defaults to FALSE.
.R: Integer. The number of bootstrap replications. Defaults to 499.
.saturated: Logical. Should a saturated structural model be used? Defaults to FALSE.
.seed: Integer or NULL. The random seed to use. Defaults to NULL in which case an arbitrary seed is chosen. Note that the scope of the seed is limited to the body of the function it is used in. Hence, the global seed will not be altered!
.type_gfi: Character string. Which fitting function should the GFI be based on? One of "ML" for the maximum likelihood fitting function, "GLS" for the generalized least squares fitting function or "ULS" for the unweighted least squares fitting function (same as the squared Euclidean distance). Defaults to "ML".
.type_vcv: Character string. Which model-implied correlation matrix should be calculated? One of "indicator" or "construct". Defaults to "indicator".

Details

Most arguments supplied to the ... argument of assess() are only accepted by a subset of the functions called by assess(). The following list shows which argument is passed to which function:

.absolute: Accepted by/Passed down to: calculateHTMT()
.alpha: Accepted by/Passed down to: calculateRhoT(), calculateHTMT(), calculateCN()
.ci: Accepted by/Passed down to: calculateHTMT()
.closed_form_ci: Accepted by/Passed down to: calculateRhoT()
.handle_inadmissibles: Accepted by/Passed down to: calculateHTMT()
.inference: Accepted by/Passed down to: calculateHTMT
.null_model: Accepted by/Passed down to: calculateDf()
.R: Accepted by/Passed down to: calculateHTMT()
.saturated: Accepted by/Passed down to: calculateSRMR(), calculateDG(), calculateDL(), calculateDML()and subsequently fit().
.seed: Accepted by/Passed down to: calculateHTMT()
.type_gfi: Accepted by/Passed down to: calculateGFI()
.type_vcv: Accepted by/Passed down to: calculateSRMR(), calculateDG(), calculateDL(), calculateDML() and subsequently fit().