odesolv | R Documentation |

The system of differential equations is linear, with possibly time-varying coefficient functions. The numerical solution is computed with the Runge-Kutta method.

```
odesolv(bwtlist, ystart=diag(rep(1,norder)),
h0=width/100, hmin=width*1e-10, hmax=width*0.5,
EPS=1e-4, MAXSTP=1000)
```

`bwtlist` |
a list whose members are functional parameter objects defining the weight functions for the linear differential equation. |

`ystart` |
a vector of initial values for the equations. These are the values at time 0 of the solution and its first m - 1 derivatives. |

`h0` |
a positive initial step size. |

`hmin` |
the minimum allowable step size. |

`hmax` |
the maximum allowable step size. |

`EPS` |
a convergence criterion. |

`MAXSTP` |
the maximum number of steps allowed. |

This function is required to compute a set of solutions of an estimated linear differential equation in order compute a fit to the data that solves the equation. Such a fit will be a linear combinations of m independent solutions.

a named list of length 2 containing

`tp` |
a vector of time values at which the system is evaluated |

`yp` |
a matrix of variable values corresponding to |

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009),
*Functional data analysis with R and Matlab*, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005),
*Functional Data Analysis, 2nd ed.*, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002),
*Applied Functional Data Analysis*, Springer, New York.

`pda.fd`

. For new applications, users are encouraged to
consider `deSolve`

. The `deSolve`

package
provides general solvers for ordinary and partial differential
equations, as well as differential algebraic equations and delay
differential equations.

```
#See the analyses of the lip data.
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.