Title: Population Proportion Estimation using Group Testing
Description: 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.
Packaged: 2016-09-15 14:19:19 UTC; qingyangzhang

Title: Post-Translational Modification Enrichment, Integration, and
person("Payman", "Nickchi", role = c("aut","cre"),email = "pnickchi@sfu.ca")
Description: 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>.
Imports: ggplot2, dplyr, glue, lifecycle, purrr, rlang, stringr,

Title: Functions for Aster Book on Inverse Theory
Depends: R (>= 2.12), Matrix, pracma, bvls, RSEIS, signal, MASS, nnls
Description: 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

Description: 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.

Title: Geophysical Inverse Theory and Optimization
Description: 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.