Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).

Interfaces to audio devices (mainly sample-based) from R
to allow recording and playback of audio. Built-in devices
include Windows MM, Mac OS X AudioUnits and PortAudio (the last
one is very experimental).

Creates audio representations of common plots in R

Standard Conform Pure Tone Audiometry (PTA) Plots
Facilitates plotting audiometric data (mostly) by preparing the coordinate system according to standards, given e. g. in American Speech-Language-Hearing Association (2005), <doi:10.1044/policy.GL2005-00014>.

Two Bayesian methods for Accounting Populations

Find an upper bound for the total amount of overstatement
of assets in a set of accounts, or estimate the amount of sales tax
owed on a collection of transactions (Meeden and Sargent, 2007,
<doi:10.1080/03610920701386802>).

Automatic Tracing and Display of Changes to Row Count
Classifies a data.frame such that row deletions and
additions are tracked.  A mechanism exists to give formal names to the row
subsets that are coming or going.  These names are used to populate a
directed graph giving an account of all the transactions contributing to
the state of the data.frame.  The generic as.audited() has a
method for keyed data.frames that creates an audited data.frame.
Methods exist that track row count changes for the generics: Ops, !, ^, |,
[, subset, head, tail, unique, cast, melt, aggregate, and merge.
audit() extracts the transaction table from the audited object, while
write.audit() and read.audit() control exchange with the
file system. An audit method for as.igraph() creates a graph object that
can be displayed with the corresponding plot method.  Use options(audit= )
to provide an extra level of classification. Use options(artifact=TRUE)
and as.xlsx() to save dropped records to file.

Model Audit - Verification, Validation, and Error Analysis
c(
person("Alicja", "Gosiewska", , "alicjagosiewska@gmail.com", role = c("aut", "cre")),
person("Przemyslaw", "Biecek", role =  c("aut", "ths"))
)
Provides an easy to use unified interface for creating validation plots for any model.
The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots.
This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
car, factoextra, fdrtool, GGally, ggplot2, ggrepel, hnp,
plotROC, ROCR, tseries
Alicja Gosiewska [aut, cre],
Przemyslaw Biecek [aut, ths]