Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 14 found.
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ml.nb1 (Package: COUNT) :

ml.nb1 is a maximum likelihood function for estimating linear negative binomial (NB1) data. Output consists of a table of parameter estimates, standard errors, z-value, and confidence intervals.
● Data Source: CranContrib
● Keywords: models
● Alias: ml.nb1
● 0 images

myTable (Package: COUNT) :

mytable is used to produce a table of frequencies, proportion and cumulative proportions for a count variable
● Data Source: CranContrib
● Keywords: table
● Alias: myTable
● 0 images

ml.nb2 (Package: COUNT) :

ml.nb2 is a maximum likelihood function for estimating linear negative binomial (NB2) data. Output consists of a table of parameter estimates, standard errors, z-value, and confidence intervals.
● Data Source: CranContrib
● Keywords: models
● Alias: ml.nb2
● 0 images

nb1_syn (Package: COUNT) :

nb1_syn is a generic function for developing synthetic NB1 data and a model given user defined specifications.
● Data Source: CranContrib
● Keywords: models, negative binomial
● Alias: nb1_syn
● 0 images

modelfit (Package: COUNT) :

modelfit is used following a glm() or glm.nb() model to produce a list of model fit statistics.
● Data Source: CranContrib
● Keywords: models
● Alias: modelfit
● 0 images

nbc_syn (Package: COUNT) :

nbc_syn is a generic function for developing synthetic NB-C data and a model given user defined specifications.
● Data Source: CranContrib
● Keywords: models, negative binomial
● Alias: nbc_syn
● 0 images

nb2_syn (Package: COUNT) :

nb2_syn is a generic function for developing synthetic NB2 data and a model given user defined specifications.
● Data Source: CranContrib
● Keywords: models, negative binomial
● Alias: nb2_syn
● 0 images

ml.pois (Package: COUNT) :

ml.pois is a maximum likelihood function for estimating Poisson data. Output consists of a table of parameter estimates, standard errors, z-value, and confidence intervals. An offset may be declared as an option.
● Data Source: CranContrib
● Keywords: models
● Alias: ml.pois
● 0 images

probit_syn (Package: COUNT) :

probit_syn is a generic function for developing synthetic probit regression data and a model given user defined specifications.
● Data Source: CranContrib
● Keywords: binomial, models, probit
● Alias: probit_syn
● 0 images

poi.obs.pred (Package: COUNT) :

poi.obs.pred is used to produce a table of a Poisson model count response with mean observed vs mean predicted proportions, and their difference.
● Data Source: CranContrib
● Keywords: table
● Alias: poi.obs.pred
● 0 images