EcologicalInferenceStrategyCalvoEtAl: EcologicalInferenceStrategyCalvoEtAl

In rOpenStats/ElectionsLATAM: Statistics Methods for Applying in LATAM Elections

EcologicalInferenceStrategyCalvoEtAl

Description

EcologicalInferenceStrategyCalvoEtAl

EcologicalInferenceStrategyCalvoEtAl

Super class

ElectionsLATAM::EcologicalInferenceStrategy -> EcologicalInferenceStrategyCalvoEtAl

Public fields

estsPG

estimation parameters

fracsPG

fractions

Methods

Public methods

• EcologicalInferenceStrategyCalvoEtAl$new()

• EcologicalInferenceStrategyCalvoEtAl$callDifp()

• EcologicalInferenceStrategyCalvoEtAl$paramsEstim()

• EcologicalInferenceStrategyCalvoEtAl$calcFractions()

• EcologicalInferenceStrategyCalvoEtAl$paramsBoot()

• EcologicalInferenceStrategyCalvoEtAl$runEcologicalInference()

• EcologicalInferenceStrategyCalvoEtAl$clone()

Inherited methods

• ElectionsLATAM::EcologicalInferenceStrategy$setProcessor()

---

Method new()

Usage

EcologicalInferenceStrategyCalvoEtAl$new(seed = 143324)

---

Method callDifp()

CALL.DIFP Calculates penalty for given parameters

Usage

EcologicalInferenceStrategyCalvoEtAl$callDifp(
  p,
  mx,
  my,
  covar,
  nR,
  nC,
  nP,
  const
)

Arguments

p

- parameter vector R x (C-1)

mx

- Column marginals

my

- row marginals

nR

- number of rows

nC

- number of columns

nP

- number of precincts

const

- weight for penalty

---

Method paramsEstim()

Ecological Inference in the RxC case Penalized Least Square Minimizer PARAMS.ESTIM Estimates parameters minimizing the penalized least squares criterion

Usage

EcologicalInferenceStrategyCalvoEtAl$paramsEstim(
  data,
  x = -1,
  nR,
  nC,
  const = 0.001,
  parSeed = -1
)

Arguments

data

- marginals (optionally with covariates)

x

- index (optional, for bootstrapping)

nR

- number of rows

nC

- number of columns

const

- weight for penalty

parSeed

- Seed for parameters (optional)

---

Method calcFractions()

Calculate Fractions CALC.FRACTIONS Calculate fractions from the parameters

Usage

EcologicalInferenceStrategyCalvoEtAl$calcFractions(p, nR, nC, covar = F)

Arguments

p

- parameters

nR

- number of rows

nC

- number of columns

covar

- (Optional) Vector of covariates

---

Method paramsBoot()

Bootstrapping PARAMS.BOOT

Usage

EcologicalInferenceStrategyCalvoEtAl$paramsBoot(data, nR, nC, bootSamples)

Arguments

data

- marginals (optionally, with covariates)

nR

- number of rows

nC

- number of columns

bootSamples

- number of bootstrap samples

---

Method runEcologicalInference()

runEcologicalInference run ecological inference with current strategy

Usage

EcologicalInferenceStrategyCalvoEtAl$runEcologicalInference(
  input.shares.fields,
  output.shares.fields
)

Arguments

input.shares.fields

shares fields in input table

output.shares.fields

shares fields in output table

---

Method clone()

The objects of this class are cloneable with this method.

Usage

EcologicalInferenceStrategyCalvoEtAl$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Author(s)

ecalvo

Examples

ein <- EcologicalInferenceStrategyCalvoEtAl$new()
# Cannot run without having a processor
# ein$runEcologicalInference(NULL, NULL)

rOpenStats/ElectionsLATAM documentation built on April 22, 2022, 12:53 a.m.