Population Proportion Estimation using Group Testing
The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.

Post-Translational Modification Enrichment, Integration, and
Matching Analysis
c(
person("Mohieddin", "Jafari", role = c("aut"),email = "mohieddin.jafari@helsinki.fi"),
person("Payman", "Nickchi", role = c("aut","cre"),email = "pnickchi@sfu.ca")
)
Functions and mined database from 'UniProt' focusing on post-translational modifications to do single enrichment analysis (SEA) and protein set enrichment analysis (PSEA). Payman Nickchi, Mehdi Mirzaie, Marc Baumann, Amir Ata Saei, Mohieddin Jafari (2022) <bioRxiv:10.1101/2022.11.09.515610>.
ggplot2, dplyr, glue, lifecycle, purrr, rlang, stringr,
graphics, forcats, stats, magrittr
Mohieddin Jafari [aut],
Payman Nickchi [aut, cre]

Functions for Aster Book on Inverse Theory
R (>= 2.12), Matrix, pracma, bvls, RSEIS, signal, MASS, nnls
Several Functions for Aster Book on Inverse Theory. These
functiuons are translations of MATLAB code developed by the
authors to illustrate the concepts of Inverse theory as applied
to geophysics.

Several Functions for Aster Book on Inverse Theory. These functions are translations of MATLAB code developed by the authors to illustrate the concepts of Inverse theory as applied to geophysics. There is one function, rlsqr, written by Keehoon Kim, that is a wrapper for the FORTRAN based Paige and Saunders LSQR routine.

Geophysical Inverse Theory and Optimization
Several functions introduced in Aster et al.'s book on inverse theory. The functions are often translations of MATLAB code developed by the authors to illustrate concepts of inverse theory as applied to geophysics. Generalized inversion, tomographic inversion algorithms (conjugate gradients, 'ART' and 'SIRT'), non-linear least squares, first and second order Tikhonov regularization, roughness constraints, and procedures for estimating smoothing parameters are included. Includes a wrapper for the FORTRAN based 'LSQR' (Paige and Saunders) routine.