class_docstr: Class used to calculate the confidence interval.
class_docstr_tok: ["Class","used","to","calculate","the","confidence","interval","."]
docstr: Calculate all confidence intervals.
docstr_tok: ["Calculate","all","confidence","intervals","."]
code: def calc_all_ci(self):
      """Calculate all confidence intervals."""
      out = {}
  
      for p in self.p_names:
          out[p] = (
              self.calc_ci(p, -1)[::-1]
              + [(0.0, self.params[p].value)]
              + self.calc_ci(p, 1)
          )
      if self.trace:
          self.trace_dict = map_trace_to_names(
              self.trace_dict, self.params
          )
  
      return out
  
file_path: lmfit-py/lmfit/confidence.py
imports: from warnings import warn
  import numpy
  from scipy.optimize import root_scalar
  from scipy.special import erf
  from scipy.stats import f
  from .minimizer import MinimizerException
label_desc: Use image node_id 2 for calling the ConfidenceInterval obj's underlying member method code with example usage: obj.calc_all_ci() and returns: out