coef.lframe {mpitbR}

Extract the coefficients from the estimated cross-sectional measures

Description

Extract the coefficients from the estimated cross-sectional measures

Usage

## S3 method for class 'lframe'
coef(object, ...)

Arguments

object

a "lframe"-class object

...

other arguments.

Details

The coef method for "lframe"-class objects find the point estimates from the different AF measures. This method work for only one measure c("M0","H","A","hd","hdk") (Note that contribution measure do no have confidence intervals). Then, user should subset the data frame with the estimates by the chosen measure (including other preferred categories, i.e., poverty cut-off, subgroup, etc.)

Value

Coefficients extracted from the model lframe object.

Author(s)

Ignacio Girela

See Also

confint, and summary methods, and mpitb.est function.

Examples

library(mpitbR)

data <- subset(syn_cdta)
data <- na.omit(data)

svydata <- survey::svydesign(id=~psu, weights = ~weight, strata = ~stratum, data = data)

indicators <- list(d1 = c("d_nutr","d_cm"),
                   d2 = c("d_satt","d_educ"),
                   d3 = c("d_elct","d_sani","d_wtr","d_hsg","d_ckfl","d_asst"))

# Specify mpitb project
set <- mpitb.set(svydata, indicators = indicators, name = "myname", desc = "pref. desc")

# Estimate the cross-sectional MPI and compare non-annualized changes over time
est <- mpitb.est(set, klist = c(33), measures = "M0", indmeasures = NULL,
                 tvar = "t", cotmeasures = "M0",
                 weights = "equal", over = c("area"))

coef(subset(est$lframe, measure == "M0" & t == 1))
confint(subset(est$lframe, measure == "M0" & t == 1))
summary(subset(est$lframe, measure == "M0" & t == 1))

coef(subset(est$cotframe, measure == "M0"))
confint(subset(est$cotframe, measure == "M0"))
summary(subset(est$cotframe, measure == "M0" & ctype == "abs" & ann == 0 & k == 33))