View source: R/IrregularSamplingTimes.R
irregular_single_dataset | R Documentation |
irregular_single_dataset
estimates colonization and extinction rates
in a single dataset with irregular sampling scheme.
NLL_isd
returns
the Negative Log-Likelihood of a pair of colonization and extinction rates
for an irregular sampling scheme in a single dataset.
irregular_single_dataset(
dataframe,
vector,
c,
e,
column = NULL,
n = NULL,
step = NULL,
assembly = FALSE,
jacobian = FALSE,
verbose = FALSE,
CI = FALSE
)
NLL_isd(dataframe, vector, c, e, assembly = FALSE)
dataframe |
A single dataframe. |
vector |
A vector indicating the columns with presence-absence data. |
c |
Tentative colonization rate. |
e |
Tentative extinction rate. |
column |
The name of the column with groups to calculate their c_e pair. |
n |
Minimal number of rows for each group |
step |
Accuracy to calculate the c_e pairs with. |
assembly |
Logical indicating if the assembly starts from zero species or not. |
jacobian |
Logical. Use the semianalytical method to estimate colonization and extinction rates? |
verbose |
Logical. If TRUE, gives the output of the optimizer or the numerical solver that finds the values of c and e. |
CI |
Logical. If TRUE, gives the confidence interval of the colonization and extinction rates. |
irregular_single_dataset
returns a dataframe with colonization
and extinction rates and their upper and lower confidence interval, and if
needed, the names of the groups to which colonization and extinction rates
have been calculated. NLL_isd
gives the NLL for a single dataset in
an irregular sampling scheme given a specific c and e.
The columns with the presence-absence data should have the day of that sampling on the name of the column in order to calculate colonization and extinction.
regular_sampling_scheme
,
irregular_multiple_datasets
irregular_single_dataset(simberloff[[1]], 3:17, 0.001, 0.001)
irregular_single_dataset(simberloff[[1]], 3:17, column = "Tax. Unit 1",
0.001, 0.001, 3)
irregular_single_dataset(simberloff[[1]], 3:17, column = "Tax. Unit 1",
0.001, 0.001, 3, 0.00001)
NLL_isd(simberloff[[1]], 3:17, 0.0038, 0.0086)
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