effDisc_dks: Discrete Effectiveness as Discrete Kernel-smoothed...
In julian-urbano/simIReff: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Fits a Beta-Binomial distribution, to the given sample of scores and support points.
Usage
1
effDisc_dks(x, support, mult = 1)
Arguments
x
a sample of effectiveness scores between 0 and 1.
support
the support of the distribution.
mult
a constant to multiply the initially selected bandwidth.
Value
an object of class eff.disc.dks, which inherits from
eff.disc.
References
M.C. Wang and J.V. Ryzing (1981). A Class of Smooth Estimators for Discrete
Distributions. Biometrika, 68, 301-309.
See Also
Examples
1
2
3
4
5
6
e <- effDisc_dks(web2010p20[,1], seq(0,1,.05))
c(e$mean, e$var)
plot(e, plot.data = TRUE)
e2 <- effDisc_dks(web2010p20[,1], seq(0,1,.05), mult = 2)
c(e2$mean, e2$var)
plot(e2, plot.data = TRUE)
julian-urbano/simIReff documentation built on May 21, 2019, 9:37 a.m.
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Description Usage Arguments Value References See Also Examples
Description
Fits a Beta-Binomial distribution, to the given sample of scores and support points.
Usage
1 | effDisc_dks(x, support, mult = 1)
|
Arguments
x |
a sample of effectiveness scores between 0 and 1. |
support |
the support of the distribution. |
mult |
a constant to multiply the initially selected bandwidth. |
Value
an object of class eff.disc.dks, which inherits from
eff.disc.
References
M.C. Wang and J.V. Ryzing (1981). A Class of Smooth Estimators for Discrete Distributions. Biometrika, 68, 301-309.
See Also
Examples
1 2 3 4 5 6 | e <- effDisc_dks(web2010p20[,1], seq(0,1,.05))
c(e$mean, e$var)
plot(e, plot.data = TRUE)
e2 <- effDisc_dks(web2010p20[,1], seq(0,1,.05), mult = 2)
c(e2$mean, e2$var)
plot(e2, plot.data = TRUE)
|
R Package Documentation
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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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