dblm is a linear model variety where explanatory information is coded as distances among individuals so these distances can also be computed from observed explanatory variables (a mix of continuous, qualitative explanatory variables or from more general quantities). The response is a continuous variable as in the classic linear model.
● Data Source:
CranContrib
● Keywords: principal coordinates
● Alias: dblm
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Function for generates a numeric matrix with principal coordinates of a new individual then you could obtain distances from this matrix and you can do a prediction using a Gower's result (1971) and Cuadras & Arenas (1990) which relates the squared distances vector with the principal coordinates vector associated to the new individual.
● Data Source:
CranContrib
● Keywords: spatial
● Alias: cp.xnews
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It generates a table with the results of the evaluation of radial basis functions spatio-temporal (rbfST): gaussian (GAU), exponential (EXPON), trigonometric (TRI), thin plate spline (TPS), completely regularized spline (CRS), spline with tension (ST), inverse multiquadratic (IM), and multiquadratic (M) from the leave-one-out cross validation method.
● Data Source:
CranContrib
● Keywords: spatial
● Alias: rbfST.tcv
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geospt internal function
● Data Source:
CranContrib
● Keywords: spatial
● Alias: extractFormula
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This function performs spatio-temporal interpolation. Here idwST is in a local neighborhood. This interpolation method considers the value of a point can be obtained from the weighted sum of values of the regionalized variable of closest neighbors. The general formula for the IDW is given by:
● Data Source:
CranContrib
● Keywords: spatial
● Alias: idwST
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Generates a table with the results of inverse distance weighting spatio-temporal interpolation (idwST) from leave-one-out cross validation method.
● Data Source:
CranContrib
● Keywords: spatial
● Alias: idwST.tcv
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geosptdb-package
(Package: geosptdb) :
Spatio-Temporal; Inverse Distance Weighting and Radial Basis Functions with Distance-Based Regression
Spatio-temporal: Inverse Distance Weighting (IDW) and radial basis functions; optimization, prediction, summary statistics from leave-one-out cross-validation, adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.
● Data Source:
CranContrib
● Keywords: package, spatio-temporal
● Alias: geosptdb, geosptdb-package
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Function for plotting the RMSPE for several values of the smoothing parameter eta with the same dataset. A curve is fitted to the points, and then the optimal eta that provides the smallest RMSPE is determined from the curve, by the optimize function from the stats package.
● Data Source:
CranContrib
● Keywords: spatial
● Alias: graph.rbfST
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Generate a data frame of statistical values associated with cross-validation
● Data Source:
CranContrib
● Keywords: spatial
● Alias: criterioST.cv
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It generates the RMSPE value, which is given by the radial basis function with smoothing eta and robustness rho parameters.
● Data Source:
CranContrib
● Keywords: spatial
● Alias: rbfST.cv
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providing 
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