weights_pAMCE: Computing weights for estimating the population AMCE using a...

In naoki-egami/factorEx: Design and Analysis for Factorial Experiments

Computing weights for estimating the population AMCE using a design-based approach

Description

Computing weights for estimating the population AMCE using a design-based approach

Usage

weights_pAMCE(
  formula,
  factor_name,
  data,
  pair,
  pair_id,
  cross_int,
  target_dist,
  target_type,
  partial_joint_name
)

Arguments

formula	Formula
factor_name	A factor for which the function computes weights
data	Data
pair	Whether we use a paired-choice conjoint design
pair_id	Unique identifiers for pairs in the paired-choice conjoint design (optional)
cross_int	Include interactions across profiles. Default is FALSE
target_dist	Target profile distributions to be used. This argument should be 'list'
target_type	Types of target profile distributions. 'marginal', 'partial_joint' or 'target_data'. See Examples for details
partial_joint_name	Names of factors representing partial joint distributions. See Examples for details.

naoki-egami/factorEx documentation built on Oct. 8, 2022, 5:41 a.m.