inspector (version 1.0.3)

inspect_par_haldane: Validate parameters for the Haldane distribution

Description

inspect_par_haldane checks if an object is an eligible vector of parameters for the Haldane distribution. This can be useful to validate inputs, intermediate calculations or outputs in user-defined functions.

Usage

inspect_par_haldane(x)

Arguments

x

An arbitrary object.

Value

inspect_par_haldane does not return any output. There are two possible outcomes:

• The call is silent if x is an eligible vector of parameters for the Haldane distribution.

• An informative error message is thrown otherwise.

Details

inspect_par_haldane conducts a series of tests to check if x is an eligible vector of parameters for the Haldane distribution. Namely, inspect_par_haldane checks if:

• x is NULL or empty.

• x is an atomic vector

• x is numeric

• x has NA or NaN values.

• All elements of x equal to 0.

See Also

• inspect_par_bernoulli to validate parameters for the Bernoulli/Binomial distribution.

• inspect_par_multinomial to validate parameters for the Multinomial distribution.

• inspect_par_beta to validate parameters for the Beta distribution.

• inspect_par_dirichlet to validate parameters for the Dirichlet distribution.

Examples

# NOT RUN {
# Calls that pass silently:
x1 <- c(0, 0, 0)
x2 <- c(0, 0)
inspect_par_haldane(x1)
inspect_par_haldane(x2)

# Calls that throw an informative error message:
mylist <- list(
  NULL, factor(0, 0, 0),
  matrix(c(0, 0, 0)), c("0", "0", "0"), list(0, 0, 0), c(0, NA),
  c(0, NaN, 0), c(TRUE, FALSE), numeric(0), c(1, 0, 0)
)
try(inspect_par_haldane(mylist[[1]]))
try(inspect_par_haldane(mylist[[2]]))
try(inspect_par_haldane(mylist[[3]]))
try(inspect_par_haldane(mylist[[4]]))
try(inspect_par_haldane(mylist[[5]]))
try(inspect_par_haldane(mylist[[6]]))
try(inspect_par_haldane(mylist[[7]]))
try(inspect_par_haldane(mylist[[8]]))
try(inspect_par_haldane(mylist[[9]]))
try(inspect_par_haldane(mylist[[10]]))
# }