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[ Källkod: debian-science  ]

Paket: science-economics (1.14.7) [universe]

Länkar för science-economics

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Ubunturesurser:

Hämta källkodspaketet debian-science:

Ansvarig:

Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.

Original Maintainers (usually from Debian):

  • Debian Science Team (E-postarkiv)
  • Andreas Tille
  • Ole Streicher

It should generally not be necessary for users to contact the original maintainer.

Externa resurser:

Liknande paket:

Debian Science Economics packages

Andra paket besläktade med science-economics

  • beror
  • rekommenderar
  • föreslår
  • enhances
  • rec: dynare
    platform for handling a wide class of economic models
  • rec: gretl
    GNU Regression, Econometric & Time-Series Library
  • rec: octave-econometrics
    econometrics functions for Octave
  • rec: python3-statsmodels
    Python3 module for the estimation of statistical models
  • rec: r-base
    GNU R statistical computation and graphics system
  • rec: r-cran-aer
    Applied Econometrics with R
  • rec: r-cran-bayesm
    GNU R package for Bayesian inference
  • rec: r-cran-dynlm
    GNU R package for dynamic linear models and time series regression
  • rec: r-cran-fimport
    GNU R package for financial engineering -- fImport
  • rec: r-cran-fnonlinear
    GNU R package for financial engineering -- fNonlinear
  • rec: r-cran-foreign
    GNU R package to read/write data from other stat. systems
  • rec: r-cran-funitroots
    GNU R package for financial engineering -- fUnitRoots
  • rec: r-cran-gmm
    GNU R generalized method of moments and generalized empirical likelihood
  • rec: r-cran-hmisc
    GNU R miscellaneous functions by Frank Harrell
  • rec: r-cran-isocodes
    GNU R package providing tables for several ISO codes
  • rec: r-cran-lme4
    GNU R package for linear mixed effects model fitting
  • rec: r-cran-mcmcpack
    R routines for Markov chain Monte Carlo model estimation
  • rec: r-cran-mfilter
    GNU R package providing miscellaneous time series filters
  • rec: r-cran-plm
    GNU R estimators and tests for panel data econometrics
  • rec: r-cran-pwt
    GNU R package for the Penn World Tables (version 5.6 to 7.1)
  • rec: r-cran-pwt8
    GNU R package for the Penn World Tables (version 8.x)
  • rec: r-cran-pwt9
    GNU R package for the Penn World Tables (version 9.x)
  • rec: r-cran-rdbnomics
    access to hundreds of millions data series from DBnomics API
  • rec: r-cran-rsdmx
    GNU R package for the Statistical Data and Metadata Exchange (SDMX) framework
  • rec: r-cran-tseries
    GNU R package for time-series analysis and comp. finance
  • rec: r-cran-urca
    GNU R package providing unit root and cointegration tests
  • rec: r-cran-wdi
    GNU R package for accessing the World Development Indicators
  • sug: dolo
    Paketet inte tillgängligt
  • sug: dynare-matlab
    MATLAB support for Dynare
  • sug: elpa-ess
    Emacs mode for statistical programming and data analysis
  • sug: minsky
    Paketet inte tillgängligt
  • sug: netlogo
    Paketet inte tillgängligt
  • sug: pksfc
    Paketet inte tillgängligt
  • sug: python3-pandasdmx
    Paketet inte tillgängligt
  • sug: python3-quantecon
    Paketet inte tillgängligt
  • sug: r-cran-ecdat
    Paketet inte tillgängligt
  • sug: r-cran-pdfetch
    Paketet inte tillgängligt
  • sug: r-cran-vars
    Paketet inte tillgängligt
  • sug: r-other-bmr
    Paketet inte tillgängligt
  • sug: r-other-gecon
    Paketet inte tillgängligt
  • sug: recs
    Paketet inte tillgängligt
  • sug: repast-hpc
    Paketet inte tillgängligt
  • sug: repast-symphony
    Paketet inte tillgängligt
  • sug: science-financial
    Debian Science financial engineering and computational finance
  • sug: science-mathematics
    Debian Science Mathematics packages
  • sug: science-numericalcomputation
    Debian Science Numerical Computation packages
  • sug: science-social
    Paketet inte tillgängligt
  • sug: science-statistics
    Debian Science Statistics packages
  • sug: x13as
    seasonal adjustment software for modeling time series

Hämta science-economics

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