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All functions

access_to_crop()
Predict the nets per capita associated witha given access
access_to_usage()
Convert access to usage
crop_data
Crop data.
crop_to_access()
Predict the access nets associated with a given nets per capita
crop_to_distribution()
Convert nets per capita to annual nets per capital delivered
distribution_to_crop()
Convert annual nets per capital delivered to nets per capita
get_halflife()
Get half life
get_usage_rate()
Get usage rate
halflife
Retention half life estimates.
model_distribution_to_usage()
Estimate the population-level bed net usage at given times for a set of bed net distributions at given times. This assumes a constant rate of net loss (as in malariasimulation) and that recipients of multiple rounds are random.
net_loss_exp()
Function of net loss over time from malariasimulation Net loss is exponential.
net_loss_map()
Function of net loss over time.
npc_fits
Loess and linear model fits to npc access data.
usage_rate
Usage rate estimates
usage_to_access()
Convert usage to access
usage_to_model_distribution()
Estimate the malaraisimulation input distribution from usage assumes an exponentially distributed net loss function and randomly correlated net distribution.