Colour palettes and a 'ggplot2' theme to follow the UK Government
    Analysis Function best practice guidance for producing data visualisations,
    available at
    <https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/>.
    Includes continuous and discrete colour and fill scales, as well as a
    'ggplot2' theme.

Government Analysis Function recommended colours for use in
    charts on gov.uk to help meet accessibility guidance.

Estimate diagnosis performance (Sensitivity, Specificity, 
    Positive predictive value, Negative predicted value) of a diagnostic test
    where can not measure the golden standard but can estimate it using the 
    attributable fraction.

Convenience functions for analyzing factorial experiments using ANOVA or
         mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
         between, within (i.e., repeated-measures), or mixed (i.e., split-plot) 
         ANOVAs for data in long format (i.e., one observation per row),
         automatically aggregating multiple observations per individual and cell 
         of the design. mixed() fits mixed models using lme4::lmer() and computes 
         p-values for all fixed effects using either Kenward-Roger or Satterthwaite 
         approximation for degrees of freedom (LMM only), parametric bootstrap 
         (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). 
         afex_plot() provides a high-level interface for interaction or one-way 
         plots using ggplot2, combining raw data and model estimates. afex uses 
         type 3 sums of squares as default (imitating commercial statistical software).

We aim to deal with data with measurement error in the response and misclassification censoring status under an AFT model. This package primarily contains three functions, which are used to generate artificial data, correction for error-prone data and estimate the functional covariates for an AFT model.

Dilate, permute, project, reflect, rotate, shear, and translate 2D and 3D points.  Supports parallel projections including oblique projections such as the cabinet projection as well as axonometric projections such as the isometric projection.  Use 'grid's "affine transformation" feature to render illustrated flat surfaces.