predict_...()
functions now treat confidence bounds in the same way as
response and predicted values. Upper and lower bounds are generated in full
in pred_upper_col
and pred_lower_col
and then the existing bounds replaced
based on replace_obs
and presence of non-missing values.obs_filter
in all predict_...
functions to replace replace_filter
, allowing
not just filtering of when to replace observations, but also not fitting models
when not being used to improve speed and reduce errors if insufficient data
for certain types of modeling.expand_df()
function to allow easy generation of data frames with explicit
missing values prior to passing to predict_...
functions.predict_simple()
.predict_aarr()
to allow the use of AARR for forecasting prevalence data.replace_filter
in all predict_...
functions that allows for select
use of predicted data based on number of observations so that different models
can be used for different data typologies.group_col
and sort_col
to "iso3"
and "year"
respectively,
since they are by far the most common usage.predict_..._avg_trend()
functions implemented to allow the fitting of models
by group and application of that trend to base data.model_error
.predict_average()
.group_models
argument, removing the grouped_predict_...
function aliases.scale
and probit
arguments to predict_...
functions to enable
automatic scaling and transforming of response variables prior to model
fitting.NEWS.md
file to track changes to the package.Add the following code to your website.
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