Description: The main function is plotLMA(sourcefile,header) that takes
a data set and plots the appropriate LMA and ACC graphs. If no
sourcefile (a string) was passed, a manual data entry window is
opened. The header parameter indicates by TRUE/FALSE (false by
default) if the source CSV file has a head row or not. The data
set should contain only one independent variable (X) and one
dependent varialbe (Y) and can contain a weight for each
Keywords: ACC,LMA,Absolute Concentration Curve, LOI minus ACC,

Title: Categorical data analisys with complete or missing responses
Author: Frederico Zanqueta Poleto, Julio da Mota Singer, Daniel Carlos
Paulino, Fabio Mathias Correa and Enio Galinkin Jelihovschi
Maintainer: Fabio Mathias Correa <fmcorrea@uesc.br>
Description: Categorical data analisys with complete or missing

Title: Categorical data analysis with complete or missing responses
Author: Frederico Zanqueta Poleto, Julio da Mota Singer, Carlos Daniel Paulino, Fabio Mathias Correa and Enio Galinkin Jelihovschi
Description: Categorical data analysis with complete or missing responses

Title: Analysis of Congruent Diversification Classes
Authors@R: c(person("Bj\u00F8rn Tore", "Kopperud", role = c("aut", "cre"), email = "kopperud@protonmail.com"),
person("Andrew F.", "Magee", role = c("aut")))
Description: Features tools for exploring congruent phylogenetic birth-death models. It can construct the pulled speciation- and net-diversification rates from a reference model. Given alternative speciation- or extinction rates, it can construct new models that are congruent with the reference model. Functionality is included to sample new rate functions, and to visualize the distribution of one congruence class. See also Louca & Pennell (2020) <doi:10.1038/s41586-020-2176-1>.
Imports: magrittr, deSolve, dplyr, tibble, colorspace, patchwork,
Maintainer: Bjørn Tore Kopperud <kopperud@protonmail.com>

Title: Tools for Autoregressive Conditional Duration Models
Imports: plyr, dplyr, ggplot2, Rsolnp, zoo, graphics
Description: Package for Autoregressive Conditional Duration (ACD, Engle and Russell, 1998) models. Creates trade, price or volume durations from transactions (tic) data, performs diurnal adjustments, fits various ACD models and tests them.