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Title: Statistical Test for the Multivariate Point Null Hypotheses
Description: A testing framework for testing the multivariate point null hypothesis.
A testing framework described in Elder et al. (2022) <arXiv:2203.01897> to test the multivariate point null hypothesis.  After the user selects a parameter of interest and defines the assumed data generating mechanism, this information should be encoded in functions for the parameter estimator and its corresponding influence curve. Some parameter and data generating mechanism combinations have codings in this package, and are explained in detail in the article.
Imports: MASS, stats, SuperLearner, glmnet, dplyr, rlang, ggplot2,
Packaged: 2022-03-25 16:00:34 UTC; adamelder
Author: Adam Elder [aut, cre] (<https://orcid.org/0000-0003-1665-2639>),

Title: An Algorithm for Automatic Peak Detection in Noisy Periodic and
Description: A method for automatic detection of peaks in noisy periodic and
quasi-periodic signals. This method, called automatic multiscale-based peak
detection (AMPD), is based on the calculation and analysis of the local maxima
scalogram, a matrix comprising the scale-dependent occurrences of local maxima.

Description: A method for automatic detection of peaks in noisy periodic and quasi-periodic signals. This method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima.
For further information see  <doi:10.3390/a5040588>.

Description: A toolkit to predict antimicrobial peptides from protein sequences on a genome-wide scale.
It incorporates a support vector machine model trained on publicly available antimicrobial peptide data using calculated
physico-chemical and compositional sequence properties described in Meher et al. (2017) <doi:10.1038/srep42362>.
In order to support genome-wide analyses this model is designed to accept any type of protein as input
and calculation of compositional properties has been optimised for high-throughput use.
Imports: Peptides, caret (>= 6.0.0), kernlab, Rcpp