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conda-forge / packages / r-kernsmoothirt 6.4

Fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.

copied from cf-staging / r-kernsmoothirt

Installers

  • linux-64 v6.4
  • osx-64 v6.4
  • win-64 v6.4

conda install

To install this package run one of the following:
conda install conda-forge::r-kernsmoothirt

Description


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