coef.cotframe: Extract the coefficients from the estimated changes over time...

In mpitbR: Calculate Alkire-Foster Multidimensional Poverty Measures

Extract the coefficients from the estimated changes over time measures

Description

Extract the coefficients from the estimated changes over time measures

Usage

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

Arguments

object	a "cotframe"-class object
...	other arguments.

Details

The coef method for "cotframe"-class objects find the point estimates from the changes over time data frame. This method work for only one measure c("M0","H","A","hd","hdk"). 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 cotframe 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))

mpitbR documentation built on April 3, 2025, 11:05 p.m.