markov_chain: first order markov chain
In MartinHoldrege/precipr: Manipulating and examining precipitation intensity

Description Usage Arguments Value Examples

Markov chain used simulate wet and dry days

1	markov_chain(params, start_date = "1980-01-01", end_date = "2010-12-31")

`params`	dataframe of parameters from monthly_ppt_params() function or from adjust_params() function
`start_date`	start date of simulation
`end_date`	end date of simulation

dataframe, with date, year, month, day and is_wet columns. This final column is logical of whether precip occured that day

params <- monthly_ppt_params(wx_data)
df <- markov_chain(params)
df
sum(df$is_wet)/nrow(df) # percent of days that are wet
sum(wx_data$PPT_cm > 0)/nrow(wx_data) # comparison to original data