Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

 Results 31 - 40 of 182600 found.
[1] < 1 2 3 4 5 6 7 8 9 10 11 > [18260]  Sort:

corRExp2 (Package: ramps) : Non-Separable Exponential Spatio-Temporal Correlation Structure

This function is a constructor for the 'corRExp2' class, representing a non-separable spatial correlation structure. Letting rs denote the spatial range, rt the temporal range, and lambda the space-time interaction, the correlation between two observations a distance d apart in space and t in time is exp(-d/rs - t/rt - lambda * (d/rs) * (t/rt)).
● Data Source: CranContrib
● Keywords: models
● Alias: corRExp2
● 0 images

ramsvm (Package: ramsvm) : The classifier for Reinforced Angle-Based Multicategory

A function that provides the RAMSVMs classifier for linear learning, polynomial learning, and kernel learning.
● Data Source: CranContrib
● Keywords:
● Alias: ramsvm
● 0 images

predict (Package: ramsvm) : A function that provides class label predictions for objects

This function provides predictions on a test data set using the obtained classifier from a call of the ramsvm function.
● Data Source: CranContrib
● Keywords:
● Alias: predict, predict,ramsvm-method
● 0 images

rand_names (Package: randNames) : Random name generator

This function grabs a list of random names from the random user generator
● Data Source: CranContrib
● Keywords:
● Alias: rand_names
● 0 images

randaes-package (Package: randaes) :

This package implements the deterministic part of the Fortuna cryptographic PRNG described in "Practical Crytography" by Ferguson and Schneier. It does not implement the entropy accumulators needed for secure cryptographic use and is intended for statistical simulation.
● Data Source: CranContrib
● Keywords: package
● Alias: randaes, randaes-package
● 0 images

NEWS (Package: random.polychor.pa) : News for Package pkg{random.polychor.pa

The function performs a parallel analysis using simulated polychoric correlation matrices. The function will extract the eigenvalues from each random generated polychoric correlation matrix and from the polychoric correlation matrix of real data. A plot comparing eigenvalues extracted from the specified real data with simulated data will help determine which of real eigenvalue outperform random data. A series of matrices comparing MAP vs PA-Polychoric vs PA-Pearson correlations methods, FA vs PCA solutions are finally presented. Random data sets are simulated assuming or a uniform or a multinomial distribution or via the bootstrap method of resampling (i.e., random permutations of cases). Also Multigroup Parallel analysis is made available for random (uniform and multinomial distribution and with or without difficulty factor) and bootstrap methods. An option to choose between default or full output is also available as well as a parameter to print Fit Statistics (Chi-squared, TLI, RMSEA, RMR and BIC) for the factor solutions indicated by the Parallel Analysis.
● Data Source: CranContrib
● Keywords:
● Alias: