Package index • growthrates

All functions

all_easylinear(): Easy Growth Rates Fit to data Frame

all_growthmodels(): Fit Nonlinear Growth Models to Data Frame

all_splines(): Fit Exponential Growth Model with Smoothing Spline

antibiotic: Plate Reader Data of Bacterial Growth

bactgrowth: Plate Reader Data of Bacterial Growth

extcoef_logistic(): Extended Set of Coefficients of a Logistic Growth Model

`[`(<multiple_fits>,<ANY>,<missing>) `[[`(<multiple_fits>,<ANY>,<missing>): Extract or Replace Parts of a 'multiple_fits' Object

fit_easylinear(): Fit Exponential Growth Model with a Heuristic Linear Method

fit_growthmodel(): Fit Nonlinear Parametric Growth Model

fit_spline(): Fit Exponential Growth Model with Smoothing Spline

function_growthmodel-class: Union Class of Growth Model or Function

grow_baranyi(): The Baranyi and Roberts Growth Model

grow_exponential(): Exponential Growth Model

ode_genlogistic() grow_genlogistic(): Generalized Logistic Growth Model

grow_gompertz(): Growth Model According to Gompertz

grow_gompertz2() grow_gompertz3(): Growth Model According to Gompertz

grow_huang(): Growth Model According to Huang

grow_logistic(): Logistic Growth Model

grow_richards(): Growth Model According to Richards

ode_twostep() grow_twostep(): Twostep Growth Model

growthmodel-class: Class of Growth Model Functions

growthmodel(): Create a User-defined Parametric Growth Model

growthrates_fit-class nonlinear_fit-class easylinear_fit-class smooth.spline_fit-class multiple_fits-class multiple_fits multiple_easylinear_fits-class multiple_nonlinear_fits-class multiple_smooth.spline_fits-class: S4 Classes of Package growthrates

growthrates-package growthrates: Estimate Growth Rates from Experimental Data

lm_or_NULL-class: Union Class of Linear Model or NULL

rsquared(<growthrates_fit>) obs(<growthrates_fit>) coef(<growthrates_fit>) coef(<easylinear_fit>) coef(<smooth.spline_fit>) deviance(<growthrates_fit>) summary(<growthrates_fit>) summary(<nonlinear_fit>) residuals(<growthrates_fit>) df.residual(<growthrates_fit>) summary(<smooth.spline_fit>) df.residual(<smooth.spline_fit>) deviance(<smooth.spline_fit>) coef(<multiple_fits>) rsquared(<multiple_fits>) deviance(<multiple_fits>) results(<multiple_fits>) results(<multiple_easylinear_fits>) summary(<multiple_fits>) residuals(<multiple_fits>): Accessor Methods of Package growthrates.

names(<growthmodel>) names(<multiple_fits>) `names<-`(<multiple_fits>): Get Names Attributes of Growth Models

plot(<nonlinear_fit>,<missing>) lines(<nonlinear_fit>) plot(<easylinear_fit>,<missing>) plot(<smooth.spline_fit>,<missing>) lines(<easylinear_fit>) plot(<multiple_fits>,<missing>): Plot Model Fits

predict(<growthrates_fit>) predict(<smooth.spline_fit>) predict(<easylinear_fit>) predict(<nonlinear_fit>) predict(<multiple_fits>): Model Predictions for growthrates Fits