paramecium

The 'paramecium' data frame has 25 rows and 2 columns of data from an experiment that grow paramecium caudatum

datasets

Fit various smoothing spline models. Includes an ssr() function for smoothing
spline regression, an nnr() function for nonparametric nonlinear regression, an snr()
function for semiparametric nonlinear regression, an slm() function for semiparametric
linear mixed-effects models, and an snm() function for semiparametric nonlinear
mixed-effects models. See Wang (2011) <doi:10.1201/b10954> for an overview.

Yuedong Wang

assist

A Suite of R Functions Implementing Spline Smoothing Techniques

Chunlei Ke

Cleve Moler

paramecium function

The data frame contains the following columns:
day a numeric vector of days since the start of the experiment
density a numeric vector of mean number of individuals in 0.5 ml of medium of four different cultures started simultaneously

Format

Neal, D. (2004). Introduction to Population Biology. Cambridge University Press.

paramecium: Growth of paramecium caudatum population

Description

Usage

Arguments

Format

references