Package 'BIOEFIC'

Title: Relative Bioefficiency via Simultaneous Regressions
Description: Fits simultaneous regression models to compare two sources (reference and test) and estimates relative bioefficiency. Includes simultaneous exponential model with common asymptote (model = 1), slope-ratio model (model = 2), quadratic model (model = 3), linear-response plateau model (model = 4), and Michaelis-Menten model (model = 5). Output style follows the 'easyreg' package. Methods are based on Finney (1978, ISBN:0-85264-252-0), Mercer et al. (1978) <doi:10.1093/jn/108.8.1244>, Robbins et al. (1979) <doi:10.1093/jn/109.10.1710>, Noll et al. (1984) <doi:10.3382/ps.0632458>, Gallant and Fuller (1973) <doi:10.1080/01621459.1973.10481356>, Littell et al. (1997) <doi:10.2527/1997.75102672x>, and Burnham and Anderson (2002, ISBN:978-0-387-95364-9).
Authors: Michel Blezins de Arruda [aut, cre] (ORCID: <https://orcid.org/0009-0003-1192-820X>)
Maintainer: Michel Blezins de Arruda <[email protected]>
License: MIT + file LICENSE
Version: 0.1.1
Built: 2026-05-28 08:14:33 UTC
Source: https://github.com/cran/BIOEFIC

Help Index

Regressoes Simultaneas para Bioeficacia Relativa

Description

Ajusta modelos de regressao simultanea (referencia e teste) para estimar a bioeficacia relativa entre duas fontes.

Usage

regsim(
  data,
  model = 1,
  mean = FALSE,
  sd = FALSE,
  conf_level = 0.95,
  IC = NULL,
  ref_name = "Referencia",
  test_name = "Teste",
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  add_eq = FALSE,
  zero_policy = c("smart", "never_drop"),
  mort = FALSE,
  digits = 6,
  resid_plot = FALSE,
  common_plateau = FALSE,
  common_asym = FALSE,
  common_int = FALSE
)

## S3 method for class 'bioefic_regsim'
print(x, ...)

## S3 method for class 'bioefic_regsim'
plot(x, ...)

## S3 method for class 'bioefic_regsim'
coef(object, ...)

## S3 method for class 'bioefic_regsim'
residuals(object, ...)

## S3 method for class 'bioefic_regsim'
fitted(object, ...)

## S3 method for class 'bioefic_regsim'
summary(object, ...)

## S3 method for class 'summary.bioefic_regsim'
print(x, ...)

Arguments

data

data.frame com 3 colunas: X (dose), Yref (resposta referencia), Ytest (resposta teste).
model

Inteiro de 1 a 5. 1 = exponencial, 2 = slope-ratio, 3 = quadratica, 4 = LRP, 5 = Michaelis-Menten.
mean

Logico. Se TRUE, plota medias por nivel de X.
sd

Logico. Se TRUE, plota barras de desvio padrao.
conf_level

Nivel de confianca (default 0.95).
IC

Alternativa a conf_level (ex.: 95 ou 0.95).
ref_name

Nome da fonte referencia (default 'Referencia').
test_name

Nome da fonte teste (default 'Teste').
xlab

Rotulo do eixo X.
ylab

Rotulo do eixo Y.
main

Titulo do grafico.
add_eq

Logico. Se TRUE, adiciona equacao ao grafico.
zero_policy

Como tratar zeros: 'smart' (default) ou 'never_drop'.
mort

Logico. Se TRUE, nao remove zeros (dados de mortalidade).
digits

Numero de casas decimais nos resultados (default 6).
resid_plot

Logico. Se TRUE, exibe grafico de residuos.
common_plateau

Logico. Forcar plato comum (models 4 e 5).
common_asym

Logico. Forcar assintota comum (models 1 e 5).
common_int

Logico. Forcar intercepto comum (models 1, 2, 3, 4 e 5).
x

Objeto da classe bioefic_regsim retornado por regsim().
...

Argumentos adicionais (nao utilizados).
object

Objeto da classe bioefic_regsim retornado por regsim().

Value

Lista de classe bioefic_regsim contendo:

summary

Tabela resumo com parametros, metricas e bioeficacia.

params

Tabela com estimativas, erros padrao e IC dos parametros.

anova

Tabela de ANOVA do ajuste simultaneo.

means_by_x

Medias observadas por nivel de dose.

plot

Objeto ggplot2 com o grafico gerado.

residuals_df

Data frame com residuos e valores ajustados.

paralel

Lista com teste de paralelismo e bioeficacia relativa (IC incluso).

References

Finney, D. J. (1978). Statistical Method in Biological Assay (3rd ed.). Charles Griffin & Company, London. ISBN 0-85264-252-0.

Mercer, L. P., Flodin, N. W. and Morgan, P. H. (1978). New methods for comparing the biological efficiency of alternate nutrient sources. The Journal of Nutrition, 108(8), 1244–1249. doi:10.1093/jn/108.8.1244

Robbins, K. R., Norton, H. W. and Baker, D. H. (1979). Estimation of nutrient requirements from growth data. The Journal of Nutrition, 109(10), 1710–1714. doi:10.1093/jn/109.10.1710

Littell, R. C., Henry, P. R., Lewis, A. J. and Ammerman, C. B. (1997). Estimation of relative bioavailability of nutrients using SAS procedures. Journal of Animal Science, 75(10), 2672–2683. doi:10.2527/1997.75102672x

Bates, D. M. and Watts, D. G. (1988). Nonlinear Regression Analysis and Its Applications. Wiley, New York. doi:10.1002/9780470316757

Anderson, R. L. and Nelson, L. A. (1975). A family of models involving intersecting straight lines and concomitant experimental designs useful in evaluating response to fertilizer nutrients. Biometrics, 31(2), 303–318. doi:10.2307/2529422

Examples

set.seed(42)
x    <- rep(c(0, 0.05, 0.10, 0.20), each = 8)
yref <- 0.65 + 0.13 * (1 - exp(-7   * x)) + rnorm(length(x), 0, 0.01)
ytes <- 0.65 + 0.13 * (1 - exp(-5.5 * x)) + rnorm(length(x), 0, 0.01)
df   <- data.frame(x, yref, ytes)
res  <- regsim(df)