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describe_d()
- Show Discriptive statistics for categorical variables
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describe_d_()
- Show Discriptive statistics for categorical variables. The output is formatted with
gt so that you can easily include it in Rmarkdown documents.
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gcomp_jack()
- Estimate the causal effect by G-computation with jackknife variance estimation.
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haven_value_label()
- Create a list of value labels from SPSS or Stata data
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haven_variable_label()
- Create a list of variable labels from SPSS or Stata data
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lem()
- Activate LEM through
system2().
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my_cross()
- Cross tabulations for categorical variables
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my_cross_plot()
- Generate a plot converted from a contingency table.
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p_star()
- convert p value to stars in a tibble.
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pdf_ocr()
- This function needs some outside modules tesseract, poppler and qpdf. These can be installed from homebrew.
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poLCA_BLRT()
- Goodness of Fit of LCA Models with
poLCA_result
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poLCA_check_class()
- format a result of latent class analysis with
poLCA_result
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poLCA_result()
- Useful short cut for
poLCA::poLCA.
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pool_rubin()
- Integration of estimation results by multiple imputation method following rubin's rule.
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rdunif()
- Generate random sample from a discrete uniform distribution