Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 11 found.
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m.step.2normal (Package: idr) :

Maximization step in the EM algorithm for parameterized bivariate 2-component Gaussian mixture models with $(1-p)N(0, 0, 1, 1, 0) + pN(mu, mu, sigma^2, sigma^2, rho)$.
● Data Source: CranContrib
● Keywords: internal
● Alias: m.step.2normal
● 0 images

loglik.2binormal (Package: idr) :

Compute the log-likelihood for parameterized bivariate 2-component Gaussian mixture models with (1-p)N(0, 0, 1, 1, 0) + pN(mu, mu, sigma, sigma, rho).
● Data Source: CranContrib
● Keywords: internal
● Alias: loglik.2binormal
● 0 images

est.IDR (Package: idr) :

Fit a Gaussian copula mixture model.
● Data Source: CranContrib
● Keywords: Statistical Models
● Alias: est.IDR
● 0 images

e.step.2normal (Package: idr) :

Expectation step in the EM algorithm for parameterized bivariate 2-component Gaussian mixture models with (1-p)N(0, 0, 1, 1, 0) + pN(mu, mu, sigma, sigma, rho).
● Data Source: CranContrib
● Keywords: internal
● Alias: e.step.2normal
● 0 images

comp.uri (Package: idr) :

An internal function to compute Psi for a given (t, v)
● Data Source: CranContrib
● Keywords: internal
● Alias: comp.uri
● 0 images

get.correspondence (Package: idr) :

Compute the correspondence profiles (Psi and Psi') and the corresponding smoothed curve using spline
● Data Source: CranContrib
● Keywords: Statistical models
● Alias: get.correspondence
● 0 images

select.IDR (Package: idr) :

Select observations that exceeding a given IDR level
● Data Source: CranContrib
● Keywords: Statistical Models
● Alias: select.IDR
● 0 images

get.pseudo.mix (Package: idr) :

Compute the pseudo values of a mixture model from the empirical CDF
● Data Source: CranContrib
● Keywords: internal
● Alias: get.pseudo.mix
● 0 images

d.binormal (Package: idr) :

Compute the log-density for parameterized bivariate Gaussian distribution N(mu, mu, sigma, sigma, rho).
● Data Source: CranContrib
● Keywords: internal
● Alias: d.binormal
● 0 images

(Package: idr) :

This package estimates the reproducibility of observations on a pair of replicate rank lists. It consists of three components: (1) plotting the correspondence curve to visualize reproducibility, (2) quantifying reproducibility using a copula mixture model and estimating the posterior probability for each obsrvation to be irreproducible (local irreproducible discovery rate), and (3) ranking and selecting observations by their irreproducibility.
● Data Source: CranContrib
● Keywords: package
● Alias: idr, idr-package
● 0 images