CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing)
CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)
CRAN Task View: ModelDeployment (https://CRAN.R-project.org/view=ModelDeployment)
CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)

CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)
CRAN Task View: Finance (https://CRAN.R-project.org/view=Finance)
CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)
CRAN Task View: SpatioTemporal (https://CRAN.R-project.org/view=SpatioTemporal)
CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)

CRAN Task View: ModelDeployment (https://CRAN.R-project.org/view=ModelDeployment)
CRAN Task View: WebTechnologies (https://CRAN.R-project.org/view=WebTechnologies)

CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)
CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing)

CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics)
CRAN Task View: Environmetrics (https://CRAN.R-project.org/view=Environmetrics)
CRAN Task View: Finance (https://CRAN.R-project.org/view=Finance)
CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)
CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)

Supplies tools for tabulating and analyzing the results of predictive models. The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.

Provides the conditional Nelson-Aalen and Aalen-Johansen estimators. The methods are based on Bladt & Furrer (2023), in preparation.

Compute approach bias scores using different scoring algorithms,
    compute bootstrapped and exact split-half reliability estimates,
    and compute confidence intervals for individual participant scores.

A set of Shiny apps for effective communication and understanding in statistics. The current version includes properties of normal distribution, properties of sampling distribution, one-sample z and t tests, two samples independent (unpaired) t test and analysis of variance.