logspace
(Package: ramify) :
Logarithmically-spaced Elements
Construct a vector of n logarithmically-spaced elements from 10^a to 10^b.
● Data Source:
CranContrib
● Keywords:
● Alias: logspace
●
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tr
(Package: ramify) :
Trace of a Matrix
Sum of diagonal elements of a matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: tr
●
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add_dots
(Package: ramify) :
Shorten a Vector
Shorten a vector using ... notation.
● Data Source:
CranContrib
● Keywords: internal
● Alias: add_dots
●
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eye
(Package: ramify) :
Identity Matrix
Creates an nrow-by-ncol identity matrix.
● Data Source:
CranContrib
● Keywords:
● Alias: eye
●
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hcat
(Package: ramify) :
Concatenate Matrices
Concatenate matrices along the first or second dimension.
● Data Source:
CranContrib
● Keywords:
● Alias: hcat, vcat
●
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bmat
(Package: ramify) :
Block Matrices
Construct a block matrix using a character string initializer.
● Data Source:
CranContrib
● Keywords:
● Alias: bmat
●
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randi
(Package: ramify) :
Matrix/Array of Uniform Random Integers
Construct a matrix or multi-way array of uniform random integers.
● Data Source:
CranContrib
● Keywords:
● Alias: randi
●
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corRExp
(Package: ramps) :
Exponential Spatial Correlation Structure
This function is a constructor for the 'corRExp' class, representing an exponential spatial correlation structure. Letting r denote the range, the correlation between two observations a distance d apart is exp(-d/r).
● Data Source:
CranContrib
● Keywords: models
● Alias: corRExp
●
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georamps
(Package: ramps) :
Bayesian Geostatistical Model Fitting with RAMPS
General function for fitting Bayesian geostatistical models using the reparameterized and marginalized posterior sampling (RAMPS) algorithm of Yan et al. (2007).
● Data Source:
CranContrib
● Keywords: models
● Alias: georamps, print.ramps
●
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corRSpher
(Package: ramps) :
Spherical Spatial Correlation Structure
This function is a constructor for the 'corRSpher' class, representing a spherical spatial correlation structure. Letting r denote the range, the correlation between two observations a distance d < r apart is 1-1.5(d/r)+0.5(d/r)^3. If d >= r the correlation is zero.
● Data Source:
CranContrib
● Keywords: models
● Alias: corRSpher
●
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