4PL parameter table (frequentist analogue of tdt_parameter_table)

Returns the fitted 4PL parameters (low, up, k, CTmax, z, and phi for over-dispersed families) as point estimates with confidence intervals, in bayesTLS's parameter / [group] / median / lower / upper shape. low and up are the fitted survival asymptotes, k is curve steepness, CTmax is the critical thermal maximum at the reference time, z is thermal sensitivity in degrees per order-of-magnitude change in duration, and phi is beta/beta-binomial precision or overdispersion. The median name is retained for table compatibility; for frequentist Wald or profile output it contains the maximum-likelihood point estimate, not a posterior median.

Usage

tdt_parameter_table(object, method = NULL, level = 0.95)

Arguments

object

A freq_tls fit from fit_4pl() (or a profile_tls fit).

method

Interval method: "wald" (default) or "profile".

level

Confidence level (default 0.95).

Value

A tibble with parameter, group, median, lower, upper.

See also

tls(), tidy_parameters()

Examples

raw <- simulate_tls(family = "binomial", CTmax = 36, z = 4, seed = 1)
dat <- standardize_data(
  raw, temp = "temp", duration = "duration",
  n_total = "total", n_surv = "survived"
)
fit <- fit_4pl(dat, family = "binomial", t_ref = 1, quiet = TRUE)
tdt_parameter_table(fit, method = "wald")
#> # A tibble: 5 × 5
#>   parameter group  median   lower   upper
#>   <chr>     <chr>   <dbl>   <dbl>   <dbl>
#> 1 low       NA     0.0199  0.0115  0.0345
#> 2 up        NA     0.977   0.962   0.993 
#> 3 k         NA     4.89    4.14    5.78  
#> 4 CTmax     all   35.9    35.7    36.1   
#> 5 z         all    4.00    3.64    4.40