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PRISMA
View on CRAN: Click
here
Download and install PRISMA package within the R console
Install from CRAN:
install.packages("PRISMA")
Install from Github:
library("remotes")
install_github("cran/PRISMA") Install by package version:
library("remotes")
install_version("PRISMA", "0.2-7") Attach the package and use:
library("PRISMA")
Maintained by
Tammo Krueger
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-08
Latest Update: 2018-05-26
Description:
Loads and processes huge text
corpora processed with the sally toolbox ( ).
sally acts as a very fast preprocessor which splits the text files into
tokens or n-grams. These output files can then be read with the PRISMA
package which applies testing-based token selection and has some
replicate-aware, highly tuned non-negative matrix factorization and
principal component analysis implementation which allows the processing of
very big data sets even on desktop machines.
How to cite:
Tammo Krueger (2012). PRISMA: Protocol Inspection and State Machine Analysis. R package version 0.2-7, https://cran.r-project.org/web/packages/PRISMA. Accessed 22 Sep. 2026.
Previous versions and publish date:
Other packages that cited PRISMA R package
View PRISMA citation profile
Other R packages that PRISMA depends,
imports, suggests or enhances
Complete documentation for PRISMA
Functions, R codes and Examples using
the PRISMA R package
Some associated functions: PRISMA-package . asap . corpusToPrisma . estimateDimension . generics . generics_dimension . generics_mf . getDuplicateData . getMatrixFactorizationLabels . loadPrismaData . prismaDuplicatePCA . prismaHclust . prismaNMF . thesis .
Some associated R codes: dimensionEstimation.R . matrixFactorization.R . prisma.R . Full PRISMA package functions and examples
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