rejectregion: Find the rejection region
In xiangjiexue/npfixedcompR: Non-parametric estimation of mixing distribution with possibily fixed components
Description
Usage
Arguments
Details
Value
Examples
Description
Find the rejection region
Usage
1
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5
rejectregion.npnorm(result, alpha = 0.05)
rejectregion.npt(result, alpha = 0.05)
rejectregion(result, alpha = 0.05)
Arguments
result
an object class nspmix
alpha
the FDR controlling rate.
Details
Find the rejection region based on the family in the result
The rejection region is calculated using the density estimate rather than data points hence robust.
The rejection is based on the hypothesis is located at 0.
The optimisation is done via NLopt library (The package nloptr)
Value
a list with par is the boundary for rejection and area is the propotion of rejection
Examples
1
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data = rnorm(500, c(0, 2))
x = makeobject(data, pi0 = 0.5)
r1 = computemixdist(x)
rejectregion(r1)
x2 = makeobject(data, pi0 = 0.5, method = "nptll") # equivalent to normal
r2 = computemixdist(x2)
rejectregion(r2)
xiangjiexue/npfixedcompR documentation built on Jan. 1, 2021, 11:39 p.m.
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Description Usage Arguments Details Value Examples
Description
Find the rejection region
Usage
1 2 3 4 5 | rejectregion.npnorm(result, alpha = 0.05)
rejectregion.npt(result, alpha = 0.05)
rejectregion(result, alpha = 0.05)
|
Arguments
result |
an object class nspmix |
alpha |
the FDR controlling rate. |
Details
Find the rejection region based on the family in the result The rejection region is calculated using the density estimate rather than data points hence robust. The rejection is based on the hypothesis is located at 0. The optimisation is done via NLopt library (The package nloptr)
Value
a list with par is the boundary for rejection and area is the propotion of rejection
Examples
1 2 3 4 5 6 7 | data = rnorm(500, c(0, 2))
x = makeobject(data, pi0 = 0.5)
r1 = computemixdist(x)
rejectregion(r1)
x2 = makeobject(data, pi0 = 0.5, method = "nptll") # equivalent to normal
r2 = computemixdist(x2)
rejectregion(r2)
|
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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