Changes in version 1.2.0                        

The main feature of this update is the ability to simulate tumors under
targeted therapy.

New functionality:

  - Several new parameters to simulateTumor() have been added. After
    max_pop is reached, therapy is applied and all non-resistants cells
    die. Then the tumor grows to recurrent_size. To control the
    probability that a new mutation confers treatment resistance, use
    the resistance_prob parameter.
  - When plotting the tumor, the colors are now chosen so that grey is
    neutral and cells with similar genotypes have similar colors.

                 Changes in version 1.1.0 (2021-01-05)                  

This update introduces new functionality for the tumor growth simulator.

New functionality:

  - A new parameter to simulateTumor() has been added. This allows the
    user to specify a custom disease model for more control over the
    kinds of mutations that can occur. See vignette for more details.
  - Coverage has been added to bulkSample() and randomBulkSamples() to
    better simulate real sequencing data.

Changes to existing functionality:

  - The alleles data frame which was returned by simulateTumor() has
    been renamed to genotypes to be biologically correct.

Bug fixes:

  - In visualizeTumor, there was an issue where suggested package rgl
    was not being used conditionally.

Internal changes:

  - The C++ code has been completely refactored for organization.

                 Changes in version 1.0.1 (2020-07-02)                  

This patch contains bug fixes. In addition, the dependence on R 4.0.0 is
switched to 3.6.0, so that users on the old release can use the package.

Bug fixes:

  - An ambiguous call to the overloaded pow() in "post_processing.h"
    causes a compilation error on Solaris.

                 Changes in version 1.0.0 (2020-07-01)                  

Initial submission to CRAN.