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Add opt T to trend1d. #1868

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joa-quim merged 1 commit into from
Jan 10, 2026
+4 −1
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Add opt T to trend1d. #1868

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5 changes: 4 additions & 1 deletion src/trend1d.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,9 @@ Parameters

Iteratively increase the number of model parameters, starting at one, until n_model is reached
or the reduction in variance of the model is not significant at the conf_level level.
- **T** | **equi_space** :: [Type => Str | List] ``Arg = [min/max/]inc[+a|n]] or file|list``

Evaluate the best-fit regression model at the equidistant points implied by the arguments.
- **W** | **weights** :: [Type => Str | []] ``Arg = [+s]``

Weights are supplied in input column 3. Do a weighted least squares fit [or start with
Expand All @@ -42,7 +45,7 @@ function trend1d(cmd0::String="", arg1=nothing; kwargs...)
d = init_module(false, kwargs...)[1] # Also checks if the user wants ONLY the HELP mode

cmd, = parse_common_opts(d, "", [:V_params :b :d :e :f :h :i :w :yx])
cmd = parse_these_opts(cmd, d, [[:C :condition_number], [:I :conf_level :confidence_level], [:F :out :output], [:W :weights]])
cmd = parse_these_opts(cmd, d, [[:C :condition_number], [:I :conf_level :confidence_level], [:F :out :output], [:T :equi_space], [:W :weights]])
opt_F = scan_opt(cmd, "-F")
((val = find_in_dict(d, [:N :model], false)[1]) === nothing) && error("The option 'model' must be specified")
if (isa(val, Tuple) && isa(val[1], NamedTuple))
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