R: Conditional Least Squared (CLS) Method for the Model SINAR(1,1)

# Conditional Least Squared (CLS) Method for the Model SINAR(1,1)

## Documentation for package ‘sinar’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

carabidae | Counts of arthropods in a grid-sampled wheat field
cls | Conditional least square estimates for a SINAR(1,1) process.
emp_cov | Empirical estimate for the Covariance matrix in the Klimko-Nelson.
emp_V | Empirical estimate for the matrix V in the Klimko-Nelson.
emp_W | Empirical estimate for the matrix W in the Klimko-Nelson.
nematodes | A matrix of counting data with 15 rows and 15 columns.
sinar_pois | Simulating SINAR(1,1) process with innovations from a poison distribution.
teo_V | Compute the value of matrix V using the coefficients.
var_hat_sigma | Variance of standard deviation of epsilon.
var_sinar | Empirical estimate for the variance of innovations.