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kernelPhil (version 0.1)

Kernel Smoothing Tools for Philology and Historical Dialectology

Description

Contains kernel smoothing tools designed for use by historical dialectologists and philologists for exploring spatial and temporal patterns in noisy historical language data, such as that obtained from historical texts. The main way in which these might differ from other implementations of kernel smoothing is that they assume that the function (linguistic variable) being explored has the form of the relative frequency of a series of discrete possibilities (linguistic variants). This package also offers a way of exploring distributions in 2-dimensional space and in time with separate kernels, and tools for identifying appropriate bandwidths for these.

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Version

Install

install.packages('kernelPhil')

Monthly Downloads

218

Version

0.1

License

GPL (>= 3)

Maintainer

Tamsin Blaxter

Last Published

February 25th, 2021

Functions in kernelPhil (0.1)

calculate.bandwidths.by.resolution

Calculate temporal bandwidths by spatial resolution
kernel.smooth.in.space.and.time.with.margins

Kernel smooth data in space and time, returning specific error margins at each point
kernel.smooth.in.time

Kernel smooth data in time alone
gaussian.kernel

Gaussian kernel
kernel.smooth.in.space

Kernel smooth data in space alone
load.kernel.smooths

Load kernel smooths
kernel.smooth.in.space.with.margins

Kernel smooth data in space alone, returning specific error margins at each point
calculate.bandwidths.by.separated.points

Calculate temporal bandwidths by separated points
nearest.point

Identify nearest point in time to a given estimate value
gaussian.square.kernel

Gaussian square kernel
kernel.smooth.in.space.and.time

Kernel smooth data in space and time
triangular.kernel

Triangular kernel
square.kernel

Square kernel
sample.size

Sample size
save.kernel.smooths

Save kernel smooths in space and time
sample.size.floored.variance

Sample size floored variance