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reference/supported_functions.md
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reference/supported_functions.md
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# Implemented functions
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Library of supported functions. The list name and "descr" element should
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be unique for each element on list.
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## Usage
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``` r
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supported_functions()
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```
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## Value
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list
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## Examples
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``` r
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supported_functions()
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#> $lm
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#> $lm$descr
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#> [1] "Linear regression model"
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#>
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#> $lm$design
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#> [1] "cross-sectional"
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#>
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#> $lm$out.type
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#> [1] "continuous"
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#>
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#> $lm$fun
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#> [1] "stats::lm"
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#>
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#> $lm$args.list
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#> NULL
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#>
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#> $lm$formula.str
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#> [1] "{outcome.str}~{paste(vars,collapse='+')}"
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#>
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#> $lm$table.fun
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#> [1] "gtsummary::tbl_regression"
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#>
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#> $lm$table.args.list
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#> $lm$table.args.list$exponentiate
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#> [1] FALSE
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#>
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#>
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#>
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#> $glm
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#> $glm$descr
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#> [1] "Logistic regression model"
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#>
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#> $glm$design
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#> [1] "cross-sectional"
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#>
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#> $glm$out.type
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#> [1] "dichotomous"
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#>
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#> $glm$fun
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#> [1] "stats::glm"
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#>
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#> $glm$args.list
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#> $glm$args.list$family
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#> [1] "binomial"
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#>
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#>
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#> $glm$formula.str
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#> [1] "{outcome.str}~{paste(vars,collapse='+')}"
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#>
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#> $glm$table.fun
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#> [1] "gtsummary::tbl_regression"
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#>
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#> $glm$table.args.list
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#> list()
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#>
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#>
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#> $polr
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#> $polr$descr
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#> [1] "Ordinal logistic regression model"
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#>
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#> $polr$design
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#> [1] "cross-sectional"
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#>
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#> $polr$out.type
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#> [1] "categorical"
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#>
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#> $polr$fun
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#> [1] "MASS::polr"
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#>
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#> $polr$args.list
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#> $polr$args.list$Hess
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#> [1] TRUE
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#>
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#> $polr$args.list$method
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#> [1] "logistic"
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#>
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#>
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#> $polr$formula.str
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#> [1] "{outcome.str}~{paste(vars,collapse='+')}"
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#>
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#> $polr$table.fun
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#> [1] "gtsummary::tbl_regression"
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#>
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#> $polr$table.args.list
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#> list()
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#>
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#>
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```
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