Create "variance_linear_ode.R"

A function to compute the variance of linear ODE parameter estimation.
Change input argument in "gradient.R"

As only the time-point part of item "observation" of input argument
"linear_ode" is used,
Remove it and add item "time_point".

Modify "gradient_test.R" in "test/".
Fix a bug in "separable_ls.R"

Fix return value of "intercept_est".
Add "fim"-method block in "variance_linear_ode.R"

Add input argument "method" and block for value "fim",
for computing the variance by Fisher Information Matrix.

Create "variance_linear_ode_test.R" in "test/".
Modify ".gitignore"

Ignore "temp" file.
Add input "latex" in "variance_linear_ode.R"

Add input argument "latex",
which outputs the parameter estimation and variance in a Latex form,
when it is not NULL.

Modify "variance_linear_ode_test.R" in "test/".
Create "lasso_linearize.R"

A function which sparsifies a non-sparse estimation of an ODE system,
by solving a LASSO problem obtained by linearize the residual
function at the given estimation.
Change output argument names

Remove trailing "_est" from output argument names in
"objective.R","separable_ls.R","variance_linear_ode.R".
Add basic block in "lasso_linearize.R"

Add a block to solve the linearization LASSO problem
using "genlasso" package.
Add comments.

Create "lasso_linearize_test.R" in "test/".
Create "README"