Signal compression methods for function-on-function regression with functional response and functional predictors, including linear models with both scalar and functional predictors for a small number of functional predictors, linear models with functional predictors for a large number of functional predictors, stepwise selection for FOF models with two-way interactions, and nonlinear models. References are linked to via the URL below.

Signal compression methods for functional regression. It includes various function-on-function (FOF) regression models such as the linear FOF model with functional response and both scalar and functional predictors for a small number of functional predictors, linear FOF models with a large number of functional predictors, linear FOF model for spiky data, stepwise selection for FOF models with two-way interactions, and nonlinear FOF models. It also includes scalar-on-function regression models with single (SOF) or multivariate (mSOF) scalar response variable, and SOF model for spiky data.
'ffsig.R' 'ff.wave.sigcom.R' 'ff.spike.R' 'ff.nonlinear.R'
'ff.interaction.R' 'high_dimensional_function_on_function.R'
'hd_multi_scalar_on_function.R' 'multi_scalar_on_function.R'
'spiky.scalar.on.function.R' 'RcppExports.R'

Functions for Simple Fisheries Stock Assessment Methods
Functions to perform a variety of simple fish stock assessment methods.
Detailed vignettes are available on the fishR website listed below.
graphics, grDevices, stats, tools, plotrix, plyr
car, dplyr, dunn.test, fishmethods, FSAdata, gdata, gplots,
Hmisc, knitr, lmtest, marked, nlstools, Rcapture, relax,
sciplot, testthat

graphics, grDevices, stats, tools, utils, plotrix, plyr

Simple Fisheries Stock Assessment Methods
A variety of simple fish stock assessment methods.
Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
graphics, grDevices, stats, tools, utils, car, dplyr, gplots,
Hmisc, plotrix, plyr, sciplot
dunn.test, fishmethods, FSAdata, knitr, lmtest, marked,
nlstools, Rcapture, testthat, rmarkdown