% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/model_diagnostics.R
\name{maxent_response_curve_fixed}
\alias{maxent_response_curve_fixed}
\title{Compute Response Curve with Fixed Values}
\usage{
maxent_response_curve_fixed(
  model,
  fixed_values,
  feature_names,
  var_index,
  var_min,
  var_max,
  n_steps = 100L
)
}
\arguments{
\item{model}{External pointer to a FeaturedSpace object.}

\item{fixed_values}{Numeric vector of fixed values for each variable.}

\item{feature_names}{Character vector of environment variable names.}

\item{var_index}{0-based index of the variable to vary.}

\item{var_min}{Minimum value of the target variable.}

\item{var_max}{Maximum value of the target variable.}

\item{n_steps}{Number of steps (default 100).}
}
\value{
A data.frame with columns: value, prediction.
}
\description{
Like \code{maxent_response_curve} but the user supplies explicit fixed
values for the non-target variables. Applies the Java Maxent cloglog
transform, matching the output of Java Maxent and \pkg{dismo}:
\deqn{cloglog = 1 - exp(-exp(H) \cdot raw)}
}
\seealso{
\code{\link{maxent_response_curve}}
}
