confidence_intervals_pjk: Confidence Intervals for lphom estimates

In lphom: Ecological Inference by Linear Programming under Homogeneity

Confidence Intervals for lphom estimates

Description

Estimates confidence intervals for the (vote) transfer probabilities obtained with lphom()

Usage

confidence_intervals_pjk(lphom.object, level = 0.9, num.d = 11, B = 30)

Arguments

lphom.object	An object output of the lphom() function.
level	A number between 0 and 1 to be used as level of confidence for the intervals. By default 0.90
num.d	Number maximum of different disturbances, d, to be initially considered. Positive integer greater than or equal to 5. By default, 11.
B	Integer that determines the number of simulations to be performed for each disturbance value. By default, 30.

Value

A list with the following components

TM.estimation	Transfer matrix of probability point estimates.
TM.lower	Transfer matrix of lower values for the probability estimates.
TM.upper	Transfer matrix of upper values for the probability estimates.
level	Confidence level used when computing the confidence intervals.

Author(s)

Jose M. Pavia, [e-mail]

Rafael Romero [e-mail]

References

Romero, R, Pavia, JM, Martin, J and Romero G (2020). Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential election. Journal of Applied Statistics, 47(13-15), 2711-2736. doi: 10.1080/02664763.2020.1804842

Martin, J (2020). Analisis de la incertidumbre en la estimacion de la movilidad electoral mediante el procedimiento plhom. PhD Dissertation.

See Also

lphom error_lphom

Examples

# Do not run
# mt.lphom <- lphom(France2017P[, 1:8], France2017P[, 9:12], "raw", NULL, FALSE)
# set.seed(533423)
# confidence_intervals_pjk(mt.lphom, level = 0.90, num.d = 5, B = 8)

lphom documentation built on March 21, 2022, 9:09 a.m.