/
_pkgdown.yml
94 lines (90 loc) · 2.18 KB
/
_pkgdown.yml
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destination: docs
url: https://sfcheung.github.io/semfindr/
template:
bootstrap: 5
bootswatch: lumen
theme: a11y-light
bslib:
pkgdown-nav-height: 80px
bg: "#DFDFDF"
fg: "#000000"
primary: "#5D815D"
base_font: {google: "Fira Sans"}
heading_font: {google: "Fira Sans"}
code_font: {google: "Chivo Mono"}
includes:
in_header: <meta name="google-site-verification" content="0VLBmFnW_UJFI-7gXnORPBsWxqZwmzuGpK-TeVRLBjQ" />
navbar:
bg: primary
structure:
left: [intro, articles, reference, tutorials, news]
right: [search, github]
components:
articles:
text: Articles
menu:
- text: "<General>"
- text: Approximate Case Influence Using Scores and Casewise Likelihood
href: articles/casewise_scores.html
- text: Selecting Cases In lavaan_rerun
href: articles/selecting_cases.html
- text: Using Case IDs
href: articles/user_id.html
- text: -------
- text: "<Multiple-Group Models>"
- text: Illustration
href: articles/multiple_group.html
reference:
- title: Main Functions
- contents:
- lavaan_rerun
- influence_stat
- title: Parameter Estimates
desc: >
Case influence on parameter estimates
- contents:
- est_change
- est_change_raw
- est_change_approx
- est_change_raw_approx
- title: Fit Measures
desc: >
Case influence of fit measures
- contents:
- fit_measures_change
- fit_measures_change_approx
- title: User Statistics
desc: >
Case influence on any statistics computed by a user functions
- contents:
- user_change_raw
- title: Extremeness Measures
desc: >
Identifying outliers (which may not be influential)
- contents:
- mahalanobis_predictors
- mahalanobis_rerun
- title: Diagnostic Plots
- contents:
- influence_plot
- est_change_plot
- index_plot
- title: Print Methods
- contents:
- print.lavaan_rerun
- print.est_change
- print.fit_measures_change
- print.md_semfindr
- print.influence_stat
- title: Selecting Parameters
- contents:
- pars_id
- pars_id_to_lorg
- title: Others
- contents:
- lavaan_rerun_check
- approx_check
- implied_scores
- title: Datasets
- contents:
- has_keyword("datasets")