Print proto_ipms or *_ipm objects
Print proto_ipms or *_ipm objects
Generics for IPM classes
## S3 method for class 'proto_ipm' print(x, ...) ## S3 method for class 'simple_di_det_ipm' print( x, comp_lambda = TRUE, type_lambda = "all", sig_digits = 3, check_conv = TRUE, ... ) ## S3 method for class 'simple_di_stoch_kern_ipm' print(x, comp_lambda = TRUE, type_lambda = "stochastic", sig_digits = 3, ...) ## S3 method for class 'simple_di_stoch_param_ipm' print(x, comp_lambda = TRUE, type_lambda = "stochastic", sig_digits = 3, ...) ## S3 method for class 'general_di_det_ipm' print( x, comp_lambda = TRUE, type_lambda = "last", sig_digits = 3, check_conv = TRUE, ... ) ## S3 method for class 'general_di_stoch_kern_ipm' print(x, comp_lambda = TRUE, type_lambda = "stochastic", sig_digits = 3, ...) ## S3 method for class 'general_di_stoch_param_ipm' print(x, comp_lambda = TRUE, type_lambda = "stochastic", sig_digits = 3, ...)
x |
An object of class |
... |
Ignored |
comp_lambda |
A logical indicating whether or not to calculate lambdas for the iteration kernels and display them. |
type_lambda |
Either |
sig_digits |
The number of significant digits to round to if |
check_conv |
A logical: for deterministic models, check if population state
has converged to asymptotic dynamics? If |
For printing proto_ipm objects, suffixes are wrapped in
<suffix> to assist with debugging. These are not carried into the model,
just a visual aid.
x invisibly.
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