ParamPWR contains all the parameters of a PWR model. The parameters are calculated by the initialization Method and then updated by the Method dynamic programming (here dynamic programming)

`X`

Numeric vector of length

*m*representing the covariates/inputs*x_{1},…,x_{m}*.`Y`

Numeric vector of length

*m*representing the observed response/output*y_{1},…,y_{m}*.`m`

Numeric. Length of the response/output vector

`Y`

.`K`

The number of regimes (PWR components).

`p`

The order of the polynomial regression.

`p`

is fixed to 3 by default.`gamma`

Set of transition points.

`gamma`

is a column matrix of size*(K + 1, 1)*.`beta`

Parameters of the polynomial regressions.

`beta`

is a matrix of dimension*(p + 1, K)*, with`p`

the order of the polynomial regression.`p`

is fixed to 3 by default.`sigma2`

The variances for the

`K`

regimes.`sigma2`

is a matrix of size*(K, 1)*.`phi`

A list giving the regression design matrices for the polynomial and the logistic regressions.

`computeDynamicProgram(C1, K)`

Method which implements the dynamic programming based on the cost matrix

`C1`

and the number of regimes/segments`K`

.`computeParam()`

Method which estimates the parameters

`beta`

and`sigma2`

knowing the transition points`gamma`

.

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