Constructor for femtofit objects — femtofit • femtograd

Creates a fitted model object from MLE results. This is primarily an internal constructor; users typically obtain femtofit objects from the fit() function.

Usage

femtofit(
  coefficients,
  vcov,
  loglik,
  hessian = NULL,
  gradient = NULL,
  converged = TRUE,
  iterations = NA_integer_,
  nobs = NULL,
  call = NULL,
  predict_fn = NULL
)

# S3 method for class 'femtofit'
coef(object, ...)

# S3 method for class 'femtofit'
vcov(object, ...)

# S3 method for class 'femtofit'
confint(object, parm, level = 0.95, ...)

# S3 method for class 'femtofit'
logLik(object, ...)

# S3 method for class 'femtofit'
nobs(object, ...)

# S3 method for class 'femtofit'
print(x, ...)

# S3 method for class 'femtofit'
summary(object, ...)

# S3 method for class 'summary.femtofit'
print(x, ...)

Arguments

coefficients: Named numeric vector of parameter estimates.
vcov: Variance-covariance matrix (named).
loglik: Log-likelihood value at the MLE.
hessian: Hessian matrix at the MLE.
gradient: Gradient vector at the MLE (should be near zero).
converged: Logical indicating convergence.
iterations: Number of iterations performed.
nobs: Number of observations (optional).
call: The original function call (optional).
predict_fn: Optional prediction function (optional).
object: A femtofit object.
...: Additional arguments (ignored).
parm: Parameter names or indices (default: all parameters).
level: Confidence level (default: 0.95).
x: A femtofit object.

Value

A femtofit object.

Methods (by generic)

coef(femtofit): Extract coefficient estimates
vcov(femtofit): Extract variance-covariance matrix
confint(femtofit): Compute confidence intervals
logLik(femtofit): Extract log-likelihood (enables AIC/BIC)
nobs(femtofit): Number of observations
print(femtofit): Print fitted model
summary(femtofit): Summary of fitted model

Functions

print(summary.femtofit): Print summary