Imports: methods, vctrs, tibble, ape, crayon, dplyr, pillar, stringi,

Title: Convert a Matrix of Raw Values into Nice and Tidy Data
Description: Functions to help dealing with raw data from measurements, like
reading and transforming raw values organised in matrices, calculating and
converting concentrations and calculating precision of duplicates /
triplicates / ... . It is compatible with and building on top of
Suggests: tidyverse (>= 1.1.1), ggplot2 (>= 2.2.1), testthat (>=
Maintainer: Eike Christian Kühn <eike.kuehn@pixelwoelkchen.de>

Imports: utils, stats, graphics, grDevices, tidyr (>= 0.7.1), dplyr (>=

reading and transforming raw values organized in matrices, calculating and
triplicates / ... . It is compatible with and building on top of some

Title: Standard Processing Tools for Electromyogram Signals
Description: Data processing tools for electromyogram (EMG) signals to compute the rectified, integrated and averaged EMG. Tools to plot the ensemble average of the EMG.

Author: Jose Antonio Guerrero Diaz de Leon, Jorge Eduardo Macias Diaz
Description: Data processing tools for electromyogram (EMG) signals to compute the rectified, integrated and averaged EMG. Tools to plot the ensembled average EMG.

Title: Tools for Electromyogram Signals (EMG) Analysis
Description: Data processing tools to compute the rectified, integrated and the averaged EMG. Routines for automatic detection of activation phases. A routine to compute and plot the ensemble average of the EMG. An EMG signal simulator for general purposes.

Title: Biomarker Selection in Penalized Regression Models
Federico Rotolo [aut], Stefan Michiels [ctr]
Description: Provides a useful R tool for developing and validating prediction models, estimate expected survival of patients and visualize them graphically.
Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others.
A function generating simulated survival data set is also provided.
Imports: cobs, corpcor, devtools, glmnet, graphics, grplasso, MASS,
Matrix, mboost, parallel, plsRcox, pROC, PRROC, RCurl, stats,