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The R package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data (e.g., niter = 10000).
The package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data (e.g., niter = 10000).
The R package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data (e.g., niter = 10000).
The package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data--like (e.g., niter = 10000).
The package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data--like, niter = 10000.
The package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data (e.g., niter = 10000).
The package bsts allows you to estimate Bayesian structural time series models with binary targets by setting family = 'logit'. Note, though, that these models often require longer runs than Gaussian data--like, niter = 10000.
