momentuHMM (version 1.4.3)

CIreal: Confidence intervals for the natural (i.e., real) parameters

Description

Computes the standard errors and confidence intervals on the real (i.e., natural) scale of the data stream probability distribution parameters, as well as for the transition probabilities parameters. If covariates are included in the probability distributions or TPM formula, the mean values of non-factor covariates are used for calculating the natural parameters. For any covariate(s) of class 'factor', then the value(s) from the first observation in the data are used.

Usage

CIreal(m, alpha = 0.95, covs = NULL)

Arguments

m

A momentuHMM object

alpha

Significance level of the confidence intervals. Default: 0.95 (i.e. 95% CIs).

covs

Data frame consisting of a single row indicating the covariate values to be used in the calculations. For any covariates that are not specified using covs, the means of the covariate(s) are used (unless the covariate is a factor, in which case the first factor in the data is used). By default, no covariates are specified.

Value

A list of the following objects:

...

List(s) of estimates ('est'), standard errors ('se'), and confidence intervals ('lower', 'upper') for the natural parameters of the data streams

gamma

List of estimates ('est'), standard errors ('se'), and confidence intervals ('lower', 'upper') for the transition probabilities

delta

List of estimates ('est'), standard errors ('se'), and confidence intervals ('lower', 'upper') for the initial state probabilities

Examples

# NOT RUN {
# m is a momentuHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m

ci1<-CIreal(m)

# specify 'covs'
ci2<-CIreal(m,covs=data.frame(cov1=mean(m$data$cov1),cov2=mean(m$data$cov2)))

all.equal(ci1,ci2)

# }