countdistr {tscount} | R Documentation |
Count Data Distributions
Description
Density, distribution function, quantile function, random generation, standard deviation and Anscombe residuals for some count data distributions. These auxiliary functions are used by several functions of the tscount
package.
Usage
ddistr(x, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
pdistr(q, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
qdistr(p, meanvalue, distr=c("poisson", "nbinom"), distrcoefs, ...)
rdistr(n, meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
sddistr(meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
ardistr(response, meanvalue, distr=c("poisson", "nbinom"), distrcoefs)
checkdistr(distr=c("poisson", "nbinom"), distrcoefs)
Arguments
x |
vector of (non-negative integer) quantiles. |
q |
vector of quantiles. |
p |
vector of probabilities. |
n |
positive integer value giving the number of random values to return. |
response |
vector of true observations for calculation of residuals. |
meanvalue |
non-negative numeric vector of means. |
distr |
character value giving the distribution. Possible values are currently |
distrcoefs |
vector of additional distribution coefficients. For the Poisson distribution this argument can be omitted. For the negative binomial distribution it needs to be a vector of length one giving the value for the parameter |
... |
additional arguments |
Details
Basically, these function are wrappers for specific functions for the respective distribution. The function ddistr
gives the density of the specified distribution, pdistr
the distribution function, qdistr
the quantile function and rdistr
generates random deviates from this distribution. These functions are a generalisation of the respective functions where distr
is replaced by either pois
or nbinom
. The function sddistr
returns the standard deviation of the specified distribution. The function ardistr
calculates Anscombe residuals for given values of the response. The function checkdistr
is for verification of the arguments distr
and distrcoefs
.
Author(s)
Tobias Liboschik
See Also
Poisson
for the Poisson distribution and NegBinomial
for the negative binomial distribution.
tsglm
for fitting a more genereal GLM for time series of counts.