CalSSBobjReGenesees: Create a CalSSB object from a ReGenesees/cal.analytic object

In CalibrateSSB: Weighting and Estimation for Panel Data with Non-Response

Description

Create a CalSSB object from a ReGenesees/cal.analytic object

Usage

CalSSBobjReGenesees(
  x,
  y,
  samplingWeights = NULL,
  extra = NULL,
  id = NULL,
  wave = NULL
)

Arguments

x	Output from ReGenesees::e.calibrate() (object of class cal.analytic)
y	formula or variable names
samplingWeights	NULL, TRUE (capture from x), formula, variable name or vector of data
extra	NULL, formula, variable names or matrix of data
id	NULL, TRUE (ids from x), formula, variable name or vector of data
wave	NULL, formula, variable name or vector of data

Value

A CalSSB object. That is, an object of the type retuned by CalibrateSSB.

See Also

CalibrateSSB, CalSSBobj, WideFromCalibrate, PanelEstimation.

Examples

## Not run: 
# Generates data - two years
z <- AkuData(3000)  # 3000 in each quarter
zPop <- AkuData(10000)[, 1:7]
z$samplingWeights <- 1
z$ids <- 1:NROW(z)

# Create a ReGenesees/cal.analytic object
library("ReGenesees")
desReGenesees <- e.svydesign(z[z$R == 1, ], ids = ~ids, weights = ~samplingWeights)
popTemplate <- pop.template(data = desReGenesees, calmodel = ~sex * age, partition = ~year + q)
popTotals <- fill.template(universe = zPop, template = popTemplate)
calReGenesees <- e.calibrate(design = desReGenesees, df.population = popTotals)

# Create CalSSB objects from a ReGenesees/cal.analytic object
CalSSBobjReGenesees(calReGenesees, y = ~unemployed + workforce, id = TRUE, 
                    samplingWeights = TRUE, extra = ~famid)
a <- CalSSBobjReGenesees(calReGenesees, y = c("unemployed", "workforce"), 
                         id = "id", extra = "famid", wave = c("year", "q"))

# Use the CalSSB object as input ...
PanelEstimation(WideFromCalibrate(a), "unemployed", linComb = PeriodDiff(8, 4))


## End(Not run)

CalibrateSSB documentation built on Aug. 5, 2020, 1:07 a.m.