R: Interface between 'Zelig' and 'svyglm'

zelig2-survey {Zelig}

R Documentation

Interface between `Zelig` and `svyglm`

Description

Interface between zelig and svyglm for the logit.survey

Usage

  zelig2gamma.survey(formula, weights = NULL, ids = NULL,
    probs = NULL, strata = NULL, fpc = NULL, nest = FALSE,
    check.strata = !nest, repweights = NULL, type,
    combined.weights = FALSE, rho = NULL,
    bootstrap.average = NULL, scale = NULL, rscales = NULL,
    fpctype = "fraction", return.replicates = FALSE,
    na.action = "na.omit", start = NULL, etastart = NULL,
    mustart = NULL, offset = NULL, model1 = TRUE,
    method = "glm.fit", x = FALSE, y = TRUE,
    contrasts = NULL, design = NULL, link = "inverse",
    data, ...)

  zelig2logit.survey(formula, weights = NULL, ids = NULL,
    probs = NULL, strata = NULL, fpc = NULL, nest = FALSE,
    check.strata = !nest, repweights = NULL, type,
    combined.weights = FALSE, rho = NULL,
    bootstrap.average = NULL, scale = NULL, rscales = NULL,
    fpctype = "fraction", return.replicates = FALSE,
    na.action = "na.omit", start = NULL, etastart = NULL,
    mustart = NULL, offset = NULL, model1 = TRUE,
    method = "glm.fit", x = FALSE, y = TRUE,
    contrasts = NULL, design = NULL, data)

  zelig2normal.survey(formula, weights = NULL, ids = NULL,
    probs = NULL, strata = NULL, fpc = NULL, nest = FALSE,
    check.strata = !nest, repweights = NULL, type,
    combined.weights = FALSE, rho = NULL,
    bootstrap.average = NULL, scale = NULL, rscales = NULL,
    fpctype = "fraction", return.replicates = FALSE,
    na.action = "na.omit", start = NULL, etastart = NULL,
    mustart = NULL, offset = NULL, model1 = TRUE,
    method = "glm.fit", x = FALSE, y = TRUE,
    contrasts = NULL, design = NULL, data)

  zelig2poisson.survey(formula, weights = NULL, ids = NULL,
    probs = NULL, strata = NULL, fpc = NULL, nest = FALSE,
    check.strata = !nest, repweights = NULL, type,
    combined.weights = FALSE, rho = NULL,
    bootstrap.average = NULL, scale = NULL, rscales = NULL,
    fpctype = "fraction", return.replicates = FALSE,
    na.action = "na.omit", start = NULL, etastart = NULL,
    mustart = NULL, offset = NULL, model1 = TRUE,
    method = "glm.fit", x = FALSE, y = TRUE,
    contrasts = NULL, design = NULL, data)

  zelig2probit.survey(formula, weights = NULL, ids = NULL,
    probs = NULL, strata = NULL, fpc = NULL, nest = FALSE,
    check.strata = !nest, repweights = NULL, type,
    combined.weights = FALSE, rho = NULL,
    bootstrap.average = NULL, scale = NULL, rscales = NULL,
    fpctype = "fraction", return.replicates = FALSE,
    na.action = "na.omit", start = NULL, etastart = NULL,
    mustart = NULL, offset = NULL, model1 = TRUE,
    method = "glm.fit", x = FALSE, y = TRUE,
    contrasts = NULL, design = NULL, data)

Arguments

`formula`	a `formula`
`weights`	...
`ids`	...
`probs`	...
`strata`	...
`fpc`	...
`nest`	...
`check.strata`	...
`repweights`	...
`type`	...
`combined.weights`	...
`rho`	...
`bootstrap.average`	...
`scale`	...
`rscales`	...
`fpctype`	...
`return.replicates`	...
`na.action`	...
`start`	...
`etastart`	...
`mustart`	...
`offset`	...
`model1`	...
`method`	...
`x`	...
`y`	...
`contrasts`	...
`design`	...
`link`	an object specifying a link function between the predictor and response variables
`data`	a `data.frame`
`...`	Additional parameters passed to teh “gamma.survey” model fitting function

Value

a list used to construct parameters for the svyglm function

Note

This manual file is largely incomplete, and needs a significant amount of filling out. This, in itself, might be motivation to divide this package into more models with more specific function.