R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
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Results 1 - 10 of 16 found.
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collin (Package: FME) :

Based on the sensitivity functions of model variables to a selection of parameters, calculates the "identifiability" of sets of parameter.

● Data Source: CranContrib
● Keywords:
● Alias: collin, plot.collin, print.collin
● 1 images

pseudoOptim (Package: FME) : Pseudo-random Search Optimisation Algorithm of Price (1977)

Fits a model to data, using the pseudo-random search algorithm of Price (1977), a random-based fitting technique.

● Data Source: CranContrib
● Keywords: optimize
● Alias: pseudoOptim
● 1 images

modFit (Package: FME) :

Fitting a model to data, with lower and/or upper bounds

● Data Source: CranContrib
● Keywords: utilities
● Alias: coef.modFit, deviance.modFit, df.residual.modFit, modFit, plot.modFit, print.summary.modFit, residuals.modFit, summary.modFit
● 2 images

gaussianWeights (Package: FME) :

A calibration dataset in database format (cf. modCost for the database format) is extended in order to fit model output using a weighted least squares approach. To this end, the observations are replicated for a certain number of times, and weights are assigned to the replicates according to a Gaussian density function. This density has the relevant observation as mean value. The standard deviation, provided as a parameter, determines the number of inserted replicate observations (see Detail).

● Data Source: CranContrib
● Keywords: utilities
● Alias: gaussianWeights
● 1 images

Latinhyper (Package: FME) :

Generates random parameter sets using a latin hypercube sampling algorithm.

● Data Source: CranContrib
● Keywords: utilities
● Alias: Latinhyper
● 1 images

Unif (Package: FME) :

Generates uniformly distributed random parameter sets.

● Data Source: CranContrib
● Keywords: utilities
● Alias: Unif
● 1 images

FME-package (Package: FME) :

R-package FME contains functions to run complex applications of models that produce output as a function of input parameters.

● Data Source: CranContrib
● Keywords: package
● Alias: FME, FME-package
● 0 images

modMCMC (Package: FME) :

Performs a Markov Chain Monte Carlo simulation, using an adaptive Metropolis (AM) algorithm and including a delayed rejection (DR) procedure.

● Data Source: CranContrib
● Keywords: utilities
● Alias: hist.modMCMC, modMCMC, pairs.modMCMC, plot.modMCMC, summary.modMCMC
● 15 images

sensFun (Package: FME) :

Given a model consisting of differential equations, estimates the local effect of certain parameters on selected sensitivity variables by calculating a matrix of so-called sensitivity functions. In this matrix the (i,j)-th element contains

● Data Source: CranContrib
● Keywords: utilities
● Alias: pairs.sensFun, plot.sensFun, plot.summary.sensFun, sensFun, summary.sensFun
● 10 images

modCost (Package: FME) :

Given a solution of a model and observed data, estimates the residuals, and the variable and model costs (sum of squared residuals).

● Data Source: CranContrib
● Keywords: utilities
● Alias: modCost
● 2 images