It fits an univariate left or right censored linear regression model with autoregressive errors under the normal distribution using the SAEM algorithm. It provides estimates and standard errors of the parameters, prediction of future observations and it supports missing values on the dependent variable. It also provides convergence plots when exists at least one censored observation.
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