readxl, Rlabkey, rlang, shiny, stringi, utils, WriteXLS
Suggests: covr, dplyr, ggplot2, grid, kableExtra, knitr, markdown,
pkgdown, png, rmarkdown, roxygen2 (>= 7.0.0), shinyBS,

Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.

Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, and eight different methods for smoothing parameter selection.

Title: Nonparametric Regression via Smoothing Splines

Description: Multiple and generalized nonparametric regression using smoothing spline ANOVA models and generalized additive models, as described in Helwig (2020) <doi:10.4135/9781526421036885885>. Includes support for Gaussian and non-Gaussian responses, smoothers for multiple types of predictors, interactions between smoothers of mixed types, eight different methods for smoothing parameter selection, and flexible tools for prediction and inference.

Title: Nonparametric Estimation of the Derivatives of a Regression
Authors@R: c(person("Olga", "Savchuk", role = c("aut", "cre"), email = "olga.y.savchuk@gmail.com"),
person("Alex", "Volinsky", role = "aut", email = "volinsky@usf.edu"))
Description: Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.

Title: Nonparametric Estimation of Regression Models with
Description: A method for obtain nonparametric estimates of regression models
with or without factor-by-curve interactions using local polynomial
kernel smoothers. Additionally, a parametric model (allometric model)