A complete alphabetical list of all possible arguments accepted by `assess()`

's `...`

(dotdotdot) argument.

- .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*".

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()`

.