spass (version 1.2)

test.nb.inar1: Testing Hypotheses in NB-INAR(1) model

Description

test.nb.inar1 tests hypotheses for rate ratios of two groups in an NB-INAR(1) model

Usage

test.nb.inar1(dataC, dataE, h0 = 1)

Arguments

dataC

a matrix or data frame containing count data from the control group. Columns correspond to time points, rows to observations.

dataE

a matrix or data frame containing count data from the experiment group. Columns correspond to time points, rows to observations.

h0

the value against which h is tested, see 'Details'.

Value

test.nb.inar1 returns effect size, standard error, Z-statistic and p-value attained through standard normal approximation.

Details

the function test.nb.inar1 tests for the null hypothesis \(\lambda_T/\lambda_C = h0\) against the alternative \(\lambda_T/\lambda_C \neq h_0\). For attaining estimates, method of moments estimators are used.

See Also

rnbinom.inar1 for information on the NB-INAR(1) model, n.nb.inar1 for calculating initial sample size required when performing inference, fit.nb.inar1 for calculating initial parameters required when performing sample size estimation

Examples

Run this code
# NOT RUN {
set.seed(8)
groupE<-rnbinom.inar1(n=1000, size=0.6, mu=2, rho=0.8, tp=6)
groupC<-rnbinom.inar1(n=1000, size=0.6, mu=2, rho=0.8, tp=6)

test.nb.inar1(dataC=groupC, dataE=groupE, h0=1)

# }

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