lphom (version 0.3.5-6)

confidence_intervals_pjk: 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)

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.

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.

Author

Jose M. Pavia,

Rafael Romero

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. tools:::Rd_expr_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.

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)