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Last data update: 2014.03.03

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R Release (3.2.3)
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Results 331 - 340 of 182600 found.
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montecarlo (Package: rPowerSampleSize) :

This function approximates the power for a given sample size using a Monte Carlo simulation.

● Data Source: CranContrib
● Keywords: Holm Procedure, multiple testing, package, r power, sample size computation
● Alias: montecarlo
● 0 images

matrix.type.compute (Package: rPowerSampleSize) :

This function determines the type of matrix structure of Σ_E and Σ_C, which can be multisample sphericity (type 1), multisample variance components (type 2), multisample compound symmetry (type 3) or unstructured variance components (type 4).

● Data Source: CranContrib
● Keywords: Holm Procedure, multiple testing, package, r power, sample size computation
● Alias: matrix.type.compute
● 0 images

global.1m.ssc (Package: rPowerSampleSize) :

This function computes the sample size with a global method in the context of m multiple continuous endpoints. Two groups are considered: C for control and T for treatment. The clinical aim is to be able to detect a mean difference between the test and the control product for at least one endpoint among m. This method is based on a multivariate model with co-variates taking into account the correlations between the endpoints.

● Data Source: CranContrib
● Keywords: multiple testing, multivariate models, package, sample size computation
● Alias: global.1m.ssc
● 0 images

global.1m.analysis (Package: rPowerSampleSize) : Data analysis with a global method in the context of multiple continuous endpoints

This function aims at analysing m multiple continuous endpoints with a global procedure. The clinical aim is to be able to detect a mean difference between the test T and the control C product for at least one endpoint among m. This method is based on a multivariate model taking into account the correlations between the m endpoints and possibly some adjustment variables. The result gives only a global decision.

● Data Source: CranContrib
● Keywords: data analysis, multiple testing, multivariate models, package
● Alias: global.1m.analysis
● 0 images

Psirmu (Package: rPowerSampleSize) :

This function computes the power for an analysis of m multiple tests with a control of the q-gFWER with the Hochberg procedure.

● Data Source: CranContrib
● Keywords: Hochberg Procedure, multiple testing, package, r power, sample size computation
● Alias: Psirmu
● 0 images

pred_succ (Package: rPref) : Predecessor and Successor Functions

Function for traversing the BTG (Better-Than-Graph or Hasse diagram) of a preference.

● Data Source: CranContrib
● Keywords:
● Alias: all_pred, all_succ, hasse_pred, hasse_succ, init_pred_succ, pred_succ
● 0 images

show.pref (Package: rPref) : Partial Evaluation and String/Expression Output of Preferences

Functions to substitute variables and functions in preferences which can be calculated before the preference is evaluated on a data frame. This is especially used for the string/expression output of preferences.

● Data Source: CranContrib
● Keywords:
● Alias: eval.pref, pref.str, show.pref
● 0 images

complex_pref (Package: rPref) : Complex Preferences

Complex preferences are used to compose different preference orders. For example the Pareto composition (via operator *) is the usual operator to compose the preference for a Skyline query. The Skyline is also known as Pareto frontier. All complex preferences are mathematically strict partial orders (irreflexive and transitive).

● Data Source: CranContrib
● Keywords:
● Alias: &.preference, *.preference, +.preference, complex_pref, is.complex_pref, reverse, |.preference
● 0 images

plot_front (Package: rPref) : Pareto Front Plot

Connects the points of a Pareto front (also known as Pareto frontier) and hence visualizes the dominance region of a Skyline.

● Data Source: CranContrib
● Keywords:
● Alias: plot_front
● 0 images

get_hasse_diag (Package: rPref) : Adjacency List of Hasse diagramm

Returns the adjacency list of the Hasse diagram of a preference as an (n x 2) matrix. This is the transitive reduction of the preference relation.

● Data Source: CranContrib
● Keywords:
● Alias: get_hasse_diag
● 0 images