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These functions are designed to be more user-friendly and also support weights, i.e. weighted statistics can be calculated.\n\n**Finally**, the package includes miscellaneous functions that are either not yet available in R (like `svyglm.nb()` or `svyglm.zip()` to calculate negative binomial or zero-inflated poisson models for survey data) or are just convenient for daily work (like functions for bootstrapping, or ANOVA summary tables).\n\nThe comprised tools include:\n\n* Especially for mixed models: design effect, sample size calculation\n* Significance tests: Correlation, Chi-squared test, t-test, Mann-Whitney-U test, Wilcoxon rank sum test, Kruskal-Wallis test.\n\nNote that most functions that formerly were available in this package have been moved to the [**easystats** project](https://easystats.github.io/easystats/).\n\n## Documentation\n\nPlease visit [https://strengejacke.github.io/sjstats/](https://strengejacke.github.io/sjstats/) for documentation and vignettes.\n\n## Installation\n\n### Latest development build\n\nTo install the latest development snapshot (see latest changes below), type following commands into the R console:\n\n```r\nlibrary(remotes)\nremotes::install_github(\"strengejacke/sjstats\")\n```\n### Officiale, stable release\n\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/sjstats)](https://cran.r-project.org/package=sjstats)\n\nTo install the latest stable release from CRAN, type following command into the R console:\n\n```r\ninstall.packages(\"sjstats\")\n```\n\n## Citation\n\nIn case you want / have to cite my package, please use `citation('sjstats')` for citation information. \n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1284472.svg)](https://doi.org/10.5281/zenodo.1284472)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstrengejacke%2Fsjstats","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstrengejacke%2Fsjstats","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstrengejacke%2Fsjstats/lists"}