Default prior for y-component of drift vector mu. A uniform prior on the interval [-0.5,0.5] is used.
● Data Source:
CranContrib
● Keywords:
● Alias: Pmuy
●
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Default prior for x-component of drift vector mu. A uniform prior on the interval [-0.5,0.5] is used.
● Data Source:
CranContrib
● Keywords:
● Alias: Pmux
●
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Default prior for direction of anisotropy in diffusion parameter alpha. A uniform prior on [0,pi/4] is used.
● Data Source:
CranContrib
● Keywords:
● Alias: Palpha
●
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Auxilary function for summarizing MCMC output and illustrating the posterior distributions.
● Data Source:
CranContrib
● Keywords:
● Alias: mcmc.summary
●
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Spectrum of the Matern covariance function. Note that the spectrum is renormalized, by dividing with the sum over all frequencies so that they sum to one, so that σ^2 is the marginal variance no matter how many wavenumbers are included.
● Data Source:
CranContrib
● Keywords:
● Alias: matern.spec
●
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Function that propagates the vector 'alphat'. This is equivalent to multiplying 'alphat' with the propagator matrix G. It is a lot faster though, due to the block-diagonal structure of G. This is a wrapper function of a C function.
● Data Source:
CranContrib
● Keywords:
● Alias: propagate.spectral
●
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Default prior for range parameter rho0 of stochastic source-sink term epsilon. A uniform prior on [0,100] is used.
● Data Source:
CranContrib
● Keywords:
● Alias: Prho0
●
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Spectrum of the innovation term epsilon.
● Data Source:
CranContrib
● Keywords:
● Alias: innov.spec
●
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Default prior for range parameter rho1 of diffusive term. A uniform prior on [0,100] is used.
● Data Source:
CranContrib
● Keywords:
● Alias: Prho1
●
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This function calculates the two-dimensional real Fourier transform of a space-time field. This is a wrapper function for a C function which uses the complex FFT function from the 'fftw3' library. In contrast to using T times the function 'real.FFT', R needs to communicate with C only once and not T times which saves computational time.
● Data Source:
CranContrib
● Keywords:
● Alias: real.fft.TS
●
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