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Last data update: 2014.03.03

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Results 151 - 160 of 182600 found.
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zeroEffect (Package: randomizationInference) : Potential Outcomes With Zero Treatment Effects

Calculates potential outcomes under modified assignments, assuming zero treatment effect(s).

● Data Source: CranContrib
● Keywords: methods
● Alias: zeroEffect
● 0 images

diffMeans (Package: randomizationInference) : Single Pairwise Difference of Mean Outcomes

Calculates the difference of mean observed outcomes for a specified treatment factor and specified pair of comparison levels.

● Data Source: CranContrib
● Keywords: methods
● Alias: diffMeans
● 0 images

completeRand (Package: randomizationInference) : Random Treatment Assignments for Completely Randomized Designs

Randomly draws a specified number of assignment vectors or matrices according to a completely randomized design.

● Data Source: CranContrib
● Keywords: methods
● Alias: completeRand
● 0 images

randInterval (Package: randomizationInference) : Randomization-Based Null Interval

Calculates randomization-based intervals under the null hypothesis for the specified test statistics and coverage levels.

● Data Source: CranContrib
● Keywords: methods
● Alias: randInterval
● 0 images

withinBlockEffects (Package: randomizationInference) : Pairwise Differences of Mean Outcomes Within Blocks

Calculates the differences of mean outcomes for multiple specified treatment factors and specified pairs of comparison levels, within the specified blocks.

● Data Source: CranContrib
● Keywords: methods
● Alias: withinBlockEffects
● 0 images

blockRand (Package: randomizationInference) : Random Treatment Assignments for Randomized Block Designs

Randomly draws a specified number of assignment vectors or matrices according to a randomized block design.

● Data Source: CranContrib
● Keywords: methods
● Alias: blockRand
● 0 images

diffMeansVector (Package: randomizationInference) : Vector of Pairwise Differences of Mean Outcomes

Calculates the differences of mean observed outcomes for multiple specified treatment factors and specified pairs of comparison levels.

● Data Source: CranContrib
● Keywords: methods
● Alias: diffMeansVector
● 0 images

print.rl4 (Package: randomizeBE) :

Prints the randomization list including a summary if needed.

● Data Source: CranContrib
● Keywords:
● Alias: print.rl4
● 0 images

pruns.exact (Package: randomizeBE) :

This function calculates the exact cumulative conditional distribution of the Wald-Wolfowitz runs.

● Data Source: CranContrib
● Keywords:
● Alias: pruns.exact
● 0 images

randomizeBE-package (Package: randomizeBE) :

Main function RL4() randomizes subjects, patients in groups of (treatment) sequences.
If a blocksize is given, the randomization will be done within blocks.
If more then one blocksizes are given, the size of blocks will be chosen randomly from the blocksizes.
The randomization may be controlled by a Wald-Wolfowitz runs test. Functions to obtain the p-value of that test are included.

Contains further two helper functions sequences() and williams() to get the sequences of commonly used designs in BE studies.

● Data Source: CranContrib
● Keywords:
● Alias: randomizeBE, randomizeBE-package
● 0 images