Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 28 found.
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NonParametric.VUS.var (Package: DiagTest3Grp) :

Calculate the variance of the nonparametric estimate of volumn under ROC surface (VUS) through bootstrapping.
● Data Source: CranContrib
● Keywords: htest, nonparametric
● Alias: NonParametric.VUS.var
● 0 images

var.sigma (Package: DiagTest3Grp) : Variance of a sample estimate for a normal standard deviation

Calculates the variance of a sample estimate for a normal SD parameter.
● Data Source: CranContrib
● Keywords: htest, univar
● Alias: var.sigma
● 0 images

var.mu (Package: DiagTest3Grp) :

Calculates the variance estimate of a sample estimate for a normal mean parameter.
● Data Source: CranContrib
● Keywords: htest, univar
● Alias: var.mu
● 0 images

Youden3Grp.PointEst (Package: DiagTest3Grp) :

Estimate for the extended Youden index, the associated optimal cut-points using normal and non-parametric methods and the associated. The sample size to estimate the extended Youden index of a diagnostic marker within a given margin of error under normal assumptions is also provided.
● Data Source: CranContrib
● Keywords: design, htest, nonparametric, optimize, smooth
● Alias: Youden3Grp.PointEst
● 0 images

Youden3Grp.Variance.Normal (Package: DiagTest3Grp) :

Calculate the variance estimation for the extended Youden index and the variance estimation for the associated lower and upper optimal cut-point assuming that a diagnostic test follows normal distributions in the three ordinal groups (D^-,D^0,D^+).
● Data Source: CranContrib
● Keywords: htest, univar
● Alias: Youden3Grp.Variance.Normal
● 0 images

DiagTest3Grp.Test (Package: DiagTest3Grp) :

Statistical test to compare the summary measure (VUS or Youden) estimates between two markers or multiple markers assuming that the marker follows normal distribution in each diagnosis group, for both independent samples and paired samples.
● Data Source: CranContrib
● Keywords: htest
● Alias: DiagTest3Grp.Test
● 0 images

Youden3Grp (Package: DiagTest3Grp) :

The wrapper function provide not only point estimates but also variances for the extended Youden index for three ordinal groups, the associated optimal cut-points under parametric and non-parametric methods and sample size under normal.
● Data Source: CranContrib
● Keywords: design, htest, nonparametric, optimize, smooth
● Alias: Youden3Grp
1 images

Youden3Grp.OptimalCutoff.Normal.trueMeanSD (Package: DiagTest3Grp) :

For a diagnostic test folling normal distributions, given the true or estimated normal distribution mean and standard deviation (SD) parameters for three ordinal diagnostic groups, ,calculate the Youden index and optimal cut point estimations for three ordinal diagnostic groups (usllay healthy D- , mildly diseased D0 and diseased D+).
● Data Source: CranContrib
● Keywords: htest
● Alias: Youden3Grp.OptimalCutoff.Normal.trueMeanSD
● 0 images

BW.ref (Package: DiagTest3Grp) :

Calculate the bandwidth in kernel smoothing for density estimation by use of normal reference rule and by Sheather-Jones plug-in method.
● Data Source: CranContrib
● Keywords: htest, univar
● Alias: BW.ref
● 0 images

VUS (Package: DiagTest3Grp) :

A wrapper function to calculate the Volume under Surface (VUS) estimate, its variance estimate and optimal cut-point, under normal and nonparametric assumption, to provide partial VUS estimate with a minimum requirement on the specificity and sensitivity under normality and to calculate the sample size under normality to achieve a certain estimation precision on VUS estimate.
● Data Source: CranContrib
● Keywords: design, htest, nonparametric
● Alias: VUS
1 images