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.

Accurate point and interval estimation methods for multiple linear regression coefficients, under classical normal and independent error assumptions, taking into account variable selection.

The irregularly-spaced data are interpolated onto regular latitude-longitude grids by weighting each station according to its distance and angle from the center of a search radius. In addition to this, we also provide a simple way (Jones and Hulme, 1996) to grid the irregularly-spaced data points onto regular latitude-longitude grids by averaging all stations in grid-boxes.