Package index • baselinenowcast

All functions

apply_delay(): Apply the delay to generate a point nowcast

combine_obs_with_pred(): Combine observed data with a single prediction draw

construct_triangle(): Generate a single retrospective reporting triangle

construct_triangles(): Generate retrospective reporting triangles

.apply_mask(): Apply mask to extract the elements of the matrix that are both true

.calc_n_retro_nowcast_times(): Calculate the number of retrospective nowcast times that can be used after aggregating

.check_lhs_not_only_zeros(): Check if there are non-zero-values on the LHS of NAs

.check_obs_and_pred(): Check observations and predictions are compatible

.filter_to_recent_horizons(): Filter to recent horizons

.safelydoesit(): Safe iterator

estimate_delay(): Estimate a delay distribution from a reporting triangle

estimate_uncertainty(): Estimate uncertainty parameters

fill_triangle(): Generate point nowcast

fill_triangles(): Generate retrospective nowcasts

fit_by_horizon(): Helper function that fits its each column of the matrix (horizon) to an observation model.

fit_nb(): Fit a negative binomial to a vector of observations and expectations

sample_nb(): Sample from negative binomial model given a set of predictions

sample_nowcast(): Generate a single draw of a nowcast combining observed and predicted values

sample_nowcasts(): Generate multiple draws of a nowcast combining observed and predicted values

sample_prediction(): Get a draw of only the predicted elements of the nowcast vector

sample_predictions(): Get a dataframe of multiple draws of only the predicted elements of the nowcast vector

truncate_triangle(): Get a single truncated triangle

truncate_triangles(): Generate truncated reporting triangles