Provides different functionalities and calculations used in the world of basketball to analyze the statistics of the players, the statistics of the teams, the statistics of the quintets and the statistics of the plays. For more details of the calculations included in the package can be found in the book Basketball on Paper written by Dean Oliver.

Functions to compute upper Clopper-Pearson confidence limits of early life failure probabilities and required sample sizes of burn-in studies under further available information, e.g. from other products or technologies.

This software solves an Advection Bi-Flux Diffusive Problem using the Finite Difference Method FDM. Vasconcellos, J.F.V., Marinho, G.M., Zanni, J.H., 2016, Numerical analysis of an anomalous diffusion with a bimodal flux distribution. <doi:10.1016/j.rimni.2016.05.001>. Silva, L.G., Knupp, D.C., Bevilacqua, L., Galeao, A.C.N.R., Silva Neto, A.J., 2014, Formulation and solution of an Inverse Anomalous Diffusion Problem with Stochastic Techniques. <doi:10.5902/2179460X13184>. In this version, it is possible to include a source as a function depending on space and time, that is, s(x,t).

Interactive 'R' tutorials written using 'learnr' for Field (2016), "An Adventure in Statistics", <ISBN:9781446210451>.
    Topics include general workflow in 'R' and 'Rstudio', the 'R' environment and 'tidyverse', summarizing data, model fitting, central tendency, 
    visualising data using 'ggplot2', inferential statistics and robust estimation, hypothesis testing, the general linear model, comparing means,
    repeated measures designs, factorial designs, multilevel models, growth models, and generalized linear models (logistic regression).

Provides new_partialised() and new_composed(), which extend 
    partial() and compose() functions of 'purrr' to make it easier to extract 
    and replace arguments and functions. It also has additional adverbial
    functions.

An application for analysis of Adverse Events, as described in Chen, et al., (2023) <doi:10.3390/cancers15092521>.
             The required data for the application includes demographics, follow up, adverse event, drug administration and optional tumor measurement data.
             The app can produce swimmers plots of adverse events, Kaplan-Meier plots and Cox Proportional Hazards model results
             for the association of adverse event biomarkers and overall survival and progression free survival.
             The adverse event biomarkers include occurrence of grade 3, low grade (1-2), and treatment related adverse events.
             Plots and tables of results are downloadable.