Title: Computation of Multidimensional Poverty Index (MPI)
Description: Computing package for Multidimensional Poverty Index (MPI) using Alkire-Foster method. Given N individuals, each person has D indicators of deprivation, the package compute MPI value to represent the degree of poverty in a population. The inputs are 1) an N by D matrix, which has the element (i,j) represents whether an individual i is deprived in an indicator j (1 is deprived and 0 is not deprived), and 2) the deprivation threshold.  The main output is the MPI value, which has the range between zero and one. MPI value is approaching one if almost all people are deprived in all indicators, and it is approaching zero if almost no people are deprived in any indicator.  Please see Alkire S., Chatterjee, M., Conconi, A., Seth, S. and Ana Vaz (2014) <doi:10.35648/20.500.12413/11781/ii039> for The Alkire-Foster methodology.
Imports: dplyr, tidyr, utils, doParallel, foreach, purrr
Suggests: knitr, rmarkdown, markdown, kableExtra

Title: The package can implement the network-based metabolite pathway
Author: Yanjun Xu, Chunquan Li and Xia Li
Description: (1) Our system provides a network-based strategies for metabolite pathway identification.(2) The MPINet can support the identification of pathways using Hypergeometric test based on metabolite set. (3)MPINet can support pathways from multiple databases.
Collate: getPSS.R performpcls.R identifypathway.R GetExampleData.R
biocViews: Statistics, Annotation, Pathways, metabolite, Networks
Packaged: 2013-07-27 13:14:57 UTC; lironghong

Title: Modified Profile Likelihood Estimation for Weibull Shape and
Author: Mazharul Islam and Hasinur Rahaman Khan
Description: Computing modified profile likelihood estimates for Weibull Shape and Regression Parameters. Modified likelihood estimates are provided.

Title: Most Probable Number for Serial Dilutions
person("Martine", "Ferguson", email = "Martine.Ferguson@fda.hhs.gov",
role = "aut", comment = "original R code"),
person("John", "Ihrie", email = "John.Ihrie@fda.hhs.gov",
Description: Calculates the Most Probable Number for serial dilutions to
quantify the concentration (density) of microbes in a laboratory sample.
Currently implements the confidence interval approach described in Jarvis
Suggests: knitr (>= 1.20), rmarkdown (>= 1.10), testthat (>= 2.0.0)
Author: Martine Ferguson [aut] (original R code),