effCont: Continuous Effectiveness Distributions
In julian-urbano/simIReff: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores
Description
Families to model effectiveness distributions with continuous support. Currently implemented
families are:
effCont_norm Truncated Normal.
effCont_beta Beta.
effCont_nks Truncated Kernel-smoothed with Gaussian kernel.
effCont_bks Kernel-smoothed with Beta kernel.
See Also
effContFit to fit continuous distributions, and
eff.cont for the S3 class.
For discrete distributions, see effDisc.
julian-urbano/simIReff documentation built on May 21, 2019, 9:37 a.m.
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Description
Families to model effectiveness distributions with continuous support. Currently implemented families are:
effCont_norm | Truncated Normal. |
effCont_beta | Beta. |
effCont_nks | Truncated Kernel-smoothed with Gaussian kernel. |
effCont_bks | Kernel-smoothed with Beta kernel. |
See Also
effContFit to fit continuous distributions, and
eff.cont for the S3 class.
For discrete distributions, see effDisc.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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