Run basic pattern analyses on character sets, digits, or combined
    input containing both characters and numeric digits. Useful for data
    cleaning and for identifying columns containing multiple or nonstandard
    formats.

A comprehensive statistical analysis of the accuracy of blood
         pressure devices based on the method of AAMI/ANSI SP10 standards
         developed by the AAMI Sphygmomanometer Committee for indirect
         measurement of blood pressure, incorporated into IS0 81060-2. The 
         'bpAcc' package gives the exact probability 'of accepting a device D'
         derived from the join distribution of the sample standard deviation
         and a non-linear transformation of the sample mean for a specified
         sample size introduced by Chandel et al. (2023) and by the Association
         for the Advancement of Medical Instrumentation (2003, ISBN:1-57020-183-8).

Implementation of the nonparametric bounds for the average
    causal effect under an instrumental variable model by Balke and Pearl
    (Bounds on Treatment Effects from Studies with Imperfect Compliance,
    JASA, 1997, 92, 439, 1171-1176, <doi:10.1080/01621459.1997.10474074>). The package
    can calculate bounds for a binary outcome, a binary
    treatment/phenotype, and an instrument with either 2 or 3 categories.
    The package implements bounds for situations where these 3 variables
    are measured in the same dataset (trivariate data) or where the
    outcome and instrument are measured in one study and the
    treatment/phenotype and instrument are measured in another study
    (bivariate data).

Provides tools for creating 2D and 3D biplots of multivariate data
    based on principal components analysis, together with diagnostics for
    reduction quality and enhanced visualization of variables and objects.

Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.