Performs Rasch analysis (semi-)automatically, which has been shown to be comparable with the standard Rasch analysis (Feri Wijayanto et al. (2021) <doi:10.1111/bmsp.12218>, Feri Wijayanto et al. (2022) <doi:10.3758/s13428-022-01947-9>, Feri Wijayanto et al. (2022) <doi:10.1177/01466216221125178>).

Automatic Linear and Logistic Regression and Survival Analysis
Make summary tables for descriptive statistics and select explanatory variables
automatically in various regression models. Support linear models, generalized linear
models and cox-proportional hazard models. Generate publication-ready tables summarizing
result of regression analysis and plots. The tables and plots can be exported in "HTML",
"pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.
moonBook(>= 0.3.0), nortest, dplyr, stringr, tidyselect,
tidyr, purrr, survival, mice, officer, flextable, rlang,
patchwork, ggplot2, boot, broom, cmprsk
knitr, finalfit, lme4, TH.data, rmarkdown, survminer, asaur

moonBook(>= 0.3.0), nortest, dplyr, crayon, stringr, tidyr,
purrr, survival, mice, officer, flextable, rlang, patchwork,
ggplot2, boot, broom, tidycmprsk, scales, maxstat, pammtools
knitr, finalfit, lme4, TH.data, rmarkdown, survminer, asaur,
cmprsk, PairedData

Performs Specification Search in Structural Equation Models
Implements multiple heuristic search algorithms for
automatically creating structural equation models.

Automatic Model Selection and Prediction for Univariate Time
Series
Offers a set of functions to easily make predictions for univariate time series.
'autoTS' is a wrapper of existing functions of the 'forecast' and 'prophet' packages,
harmonising their outputs in tidy dataframes and using default values for each.
The core function getBestModel() allows the user to effortlessly benchmark seven
algorithms along with a bagged estimator to identify which one performs the best
for a given time series.
rlang, prophet, dplyr, magrittr, lubridate, tidyr, forecast,
ggplot2, RcppRoll,shiny, shinycssloaders, plotly