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kernelPhil (version 0.2)

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

0.2

License

GPL (>= 3)

Maintainer

Tamsin Blaxter

Last Published

November 12th, 2025

Functions in kernelPhil (0.2)

sample.size.floored.variance

Sample size floored variance
save.kernel.smooths

Save kernel smooths in space and time
kernel.smooth.in.space

Kernel smooth data in space alone
kernel.smooth.in.time

Kernel smooth data in time alone
load.kernel.smooths

Load kernel smooths
calculate.bandwidths.by.separated.points

Calculate temporal bandwidths by separated points
kernel.smooth.in.space.and.time

Kernel smooth data in space and time
kernel.smooth.in.space.with.margins

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

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

Gaussian kernel
calculate.bandwidths.by.resolution

Calculate temporal bandwidths by spatial resolution
nearest.point

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

Square kernel
gaussian.square.kernel

Gaussian square kernel
sample.size

Sample size
triangular.kernel

Triangular kernel