BASS.generalized

sales

Function characterizing the shock. Available options are: Exponential ('exp'), Rectangular ('rett'), Harmonic ('harmonic') and Mixed ('mixed').

shock

Number of shocks desired (from 1 to 3)

nshock

Vector containing the preliminary estimates of the parameters

prelimestimates

Desired significance level, the default value is 0.05

alpha

Numeric value for the out-of-sample forecasts, the default value is 100

T or F, to display the plot of the model or not, the default value is T

display

Maximum number of iterations, the default value is 100

max.iter

This function allows to estimate parameters of a Generalized Bass model, GBM, (Bass et al., 1994) with Exponential, Rectangular, Harmonic or Mixed shock, (Guseo et al. 2007).

The implemented methods are: Bass model, Generalized Bass model (with rectangular shock, exponential shock, mixed shock and harmonic shock, 1 to 3 shocks available), Dynamic market potential model, and UCRCD model. The Bass model consists of a simple differential equation that describes the process of how new products get adopted in a population, the Generalized Bass model is a generalization of the Bass model with a function x(t), capturing the changing speed of diffusion. In some real processes the market potential may be not constant over time and a dynamic market potential model is needed. The Guseo-Guidolin model is a specification of this situation. The UCRCD model (Unbalanced Competition and Regime Change Diachronic) is a diffusion model used to capture the dynamics of competition between two products within the same market.

Zanghi Federico

DIMORA

Diffusion Models R Analysis

BASS.generalized function

<dl><dt>sales</dt>
<dd>Instantaneous sales</dd><dt>shock</dt>
<dd>Function characterizing the shock. Available options are: Exponential ('exp'), Rectangular ('rett'), Harmonic ('harmonic') and Mixed ('mixed').</dd><dt>nshock</dt>
<dd>Number of shocks desired (from 1 to 3)</dd><dt>prelimestimates</dt>
<dd>Vector containing the preliminary estimates of the parameters</dd><dt>alpha</dt>
<dd>Desired significance level, the default value is 0.05</dd><dt>ous</dt>
<dd>Numeric value for the out-of-sample forecasts, the default value is 100</dd><dt>display</dt>
<dd>T or F, to display the plot of the model or not, the default value is T</dd><dt>max.iter</dt>
<dd>Maximum number of iterations, the default value is 100</dd>
</dl>

Arguments

Zanghi Federico <a href="/link/federico.zanghi.11%40gmail.com?package=DIMORA&version=0.2.0" data-mini-rdoc="DIMORA::federico.zanghi.11@gmail.com">federico.zanghi.11@gmail.com</a>

Author

Function that estimates a Generalized Bass model — BASS.generalized

<dl>

<dt>sales</dt>
<dd>Instantaneous sales</dd>

<dt>shock</dt>
<dd>Function characterizing the shock. Available options are: Exponential ('exp'), Rectangular ('rett'), Harmonic ('harmonic') and Mixed ('mixed').</dd>

<dt>nshock</dt>
<dd>Number of shocks desired (from 1 to 3)</dd>

<dt>prelimestimates</dt>
<dd>Vector containing the preliminary estimates of the parameters</dd>

<dt>alpha</dt>
<dd>Desired significance level, the default value is 0.05</dd>

<dt>ous</dt>
<dd>Numeric value for the out-of-sample forecasts, the default value is 100</dd>

<dt>display</dt>
<dd>T or F, to display the plot of the model or not, the default value is T</dd>

<dt>max.iter</dt>
<dd>Maximum number of iterations, the default value is 100</dd>


</dl>

Zanghi Federico <a href='mailto:federico.zanghi.11@gmail.com'>federico.zanghi.11@gmail.com</a>

BASS.generalized: Function that estimates a Generalized Bass model

Description

Usage

Arguments

Author

See Also