testpar: Check Parameters
In mixdist: Finite Mixture Distribution Models
Description
Usage
Arguments
Details
Value
References
See Also
Description
Check if the values of parameters are valid.
See the reference for details.
Usage
1
Arguments
mixpar
a data frame containing the values for parameters
of component distributions, which are, in order, the proportions,
means, and standard deviations.
dist
the distribution of components, it can be one of
"norm", "lnorm", "gamma", "weibull",
"binom", "nbinom" and "pois".
constr
a list of constraints on parameters of component
distributions. See function mixconstr.
Details
Any of the parameter values can not be missing value (NA
or NaN) or infinity (Inf), and the proportions
can only take the values between 0 and 1. Besides, the
standard deviations can not be negative. The components
must be indexed so that the means are in non-decreasing
order. If any two consecutive means are equal, then the
corresponding standard deviations must be in strictly
ascending order. Furthermore, the parameter values should
be consistent with the constraints and the distribution
of components. For example, if one wants to constrain
the means to lie along a growth curve, then (μ_3 - μ_2) <
(μ_2 - μ_1) is required. Also, negative means are not permitted by
the constraints "FCV", "CCV", "BINOM", "NBINOM",
"POIS" and all the distributions but Normal. If the
Binomial distribution components with the constraint "BINOM"
are fitted, then the relation μ_i > (σ_i)^2 need to be
satisfied. And the Negative Binomial components with the
constraint "NBINOM" require μ_i < (σ_i)^2.
Value
logical. If TRUE, the parameters are valid. If FALSE,
some of the parameters are invalid. Since this function is for
internal use, it doesn't give error messages.
References
Macdonald, P.D.M. and Green, P.E.J. (1988) User's Guide to Program MIX:
An Interactive Program for Fitting Mixtures of Distributions. ICHTHUS DATA
SYSTEMS.
See Also
mixparam for organizing the parameter values,
mixconstr for constructing constraints, testconstr
for checking constraints.
mixdist documentation built on May 2, 2019, 3:34 p.m.
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Description Usage Arguments Details Value References See Also
Description
Check if the values of parameters are valid. See the reference for details.
Usage
1 |
Arguments
mixpar |
a data frame containing the values for parameters of component distributions, which are, in order, the proportions, means, and standard deviations. |
dist |
the distribution of components, it can be one of
|
constr |
a list of constraints on parameters of component
distributions. See function |
Details
Any of the parameter values can not be missing value (NA
or NaN) or infinity (Inf), and the proportions
can only take the values between 0 and 1. Besides, the
standard deviations can not be negative. The components
must be indexed so that the means are in non-decreasing
order. If any two consecutive means are equal, then the
corresponding standard deviations must be in strictly
ascending order. Furthermore, the parameter values should
be consistent with the constraints and the distribution
of components. For example, if one wants to constrain
the means to lie along a growth curve, then (μ_3 - μ_2) <
(μ_2 - μ_1) is required. Also, negative means are not permitted by
the constraints "FCV", "CCV", "BINOM", "NBINOM",
"POIS" and all the distributions but Normal. If the
Binomial distribution components with the constraint "BINOM"
are fitted, then the relation μ_i > (σ_i)^2 need to be
satisfied. And the Negative Binomial components with the
constraint "NBINOM" require μ_i < (σ_i)^2.
Value
logical. If TRUE, the parameters are valid. If FALSE,
some of the parameters are invalid. Since this function is for
internal use, it doesn't give error messages.
References
Macdonald, P.D.M. and Green, P.E.J. (1988) User's Guide to Program MIX: An Interactive Program for Fitting Mixtures of Distributions. ICHTHUS DATA SYSTEMS.
See Also
mixparam for organizing the parameter values,
mixconstr for constructing constraints, testconstr
for checking constraints.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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