Title: Lookup Tables to Generate Poverty Likelihoods and Rates using
Authors@R: person("Ernest", "Guevarra", comment = c(ORCID = "0000-0002-4887-4415"),
email = "ernestgmd@gmail.com", role = c("aut", "cre"))
Description: The Poverty Probability Index (PPI) is a poverty measurement tool
for organizations and businesses with a mission to serve the poor. The PPI
is statistically-sound, yet simple to use: the answers to 10 questions about
a household’s characteristics and asset ownership are scored to compute the
likelihood that the household is living below the poverty line – or above by
only a narrow margin. This package contains country-specific lookup data tables
used as reference to determine the poverty likelihood of a household based
on their score from the country-specific PPI questionnaire. These lookup
tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org>
and managed by Innovations for Poverty Action <https://www.poverty-action.org>.

tables have been extracted from documentation of the PPI found at
<https://www.povertyindex.org> and managed by Innovations for Poverty Action

Suggests: testthat, covr, spelling, stringr, readxl

Author: Nicole Kraemer, Anne-Laure Boulesteix
Description: This package contains linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques.
Packaged: Fri Oct  5 15:45:49 2007; kranic

Packaged: Tue Apr 15 11:09:45 2008; kranic

Packaged: Tue Jul  8 17:11:22 2008; kranic

Packaged: Fri Jan 23 19:40:27 2009; kranic

Author: Nicole Kraemer <nkraemer@cs.tu-berlin.de> Anne-Laure Boulesteix
Description: This package contains linear and nonlinear regression
methods based on Partial Least Squares and Penalization

Author: Nicole Kraemer <kraemer@ma.tum.de> Anne-Laure Boulesteix
Techniques. Model parameters are selected via cross-validation,
and confidence intervals ans tests for the regression
coefficients can be conducted via jackknifing.

Author: Nicole Kraemer <nicole.kraemer@tum.de> Anne-Laure Boulesteix