Imports: ggplot2, nortest, lme4, crayon, lmtest, emmeans, multcomp,
ggrepel, MASS, cowplot, multcompView, RColorBrewer, drc,

Description: Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootechnics, Food Science and related areas).

Imports: knitr, ggplot2, nortest, lme4, crayon, lmtest, emmeans,
multcomp, ggrepel, MASS, cowplot, multcompView, RColorBrewer,

Title: Regression Analysis Linear and Nonlinear for Agriculture
Description: Linear and nonlinear regression analysis common in agricultural science papers (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes linear, quadratic, cubic, inverse quadratic, exponential, negative exponential, biexponential, Gaussian, three- or four-parameter logistic, four- or five-parameter Brain-Cousens logistic, four- or five-parameter Cedergreen-Ritz-Streibig logistic models. five parameters, gompertz logistic, Michaelis-Menten, logarithmic, linear-linear segmented, linear-plate segmented, quadratic-plate segmented, nonparametric loess. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.
Imports: drc, ggplot2, car, crayon, boot, minpack.lm, dplyr,