Last data update: 2014.03.03

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Results 81 - 90 of 182600 found.
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randomGLM (Package: randomGLM) : Random generalized linear model predictor

Ensemble predictor comprised of individual generalized linear model predictors.
● Data Source: CranContrib
● Keywords: misc
● Alias: randomGLM
● 0 images

thinRandomGLM (Package: randomGLM) : Random generalized linear model predictor thinning

This function allows the user to define a "thinned" version of a random generalized linear model predictor by focusing on those features that occur relatively frequently.
● Data Source: CranContrib
● Keywords: misc
● Alias: thinRandomGLM
● 0 images

predict.randomGLM (Package: randomGLM) : Prediction from a random generalized linear model predictor

Implements a predict method on a previously-constructed random generalized linear model predictor and new data.
● Data Source: CranContrib
● Keywords: misc
● Alias: predict.randomGLM
● 0 images

AIC (Package: randomLCA) : AIC for randomLCA object

Returns AIC for a randomLCA object.
● Data Source: CranContrib
● Keywords: methods
● Alias: AIC.randomLCA
● 0 images

randomLCA (Package: randomLCA) : Fits a Latent Class Model including a Random Effect

Fit latent class models, which may include a random effect.
● Data Source: CranContrib
● Keywords: multivariate
● Alias: randomLCA
● 0 images

outcomeProbs (Package: randomLCA) : Extract outcome probabilities for randomLCA object

Extract outcome probabilities and confidence intervals for a randomLCA object.
● Data Source: CranContrib
● Keywords: methods
● Alias: outcomeProbs, outcomeProbs.randomLCA
● 0 images

simulate (Package: randomLCA) : Simulate

Simulate data from a fitted randomLCA model
● Data Source: CranContrib
● Keywords: methods
● Alias: simulate.randomLCA
● 0 images

logLik (Package: randomLCA) : log Likelikelihood for randomLCA object

Returns log Likelihood for a randomLCA object.
● Data Source: CranContrib
● Keywords: methods
● Alias: logLik.randomLCA
● 0 images

ranef (Package: randomLCA) : Extract random effects from a randomLCA object

Extracts the Empirical Bayes estimates of the random effects.
● Data Source: CranContrib
● Keywords: methods
● Alias: ranef.randomLCA
● 0 images

calcCondProb (Package: randomLCA) : Calculate Conditional Outcome Probabilities

Calculates the conditional outcome probabilities for random effects models or for standard latent class returns the outcome probabilities. For random effects, the outcome probabilities may be calculated for various percentiles of the random effect.
● Data Source: CranContrib
● Keywords: methods
● Alias: calcCondProb
● 0 images