- CheckMatlabAxes(afile)
-
integer intent(in) :: afile
- CoolChain(cool)
-
real(mcp) intent(in) :: cool
- DoConvergeTests(limfrac)
-
real(mcp) intent(in) :: limfrac
the limit to split tests and Raftery-Lewis
- EdgeWarning(param)
-
integer intent(in) :: param
- Get1DDensity(j)
- Get2DPlotData(j, j2)
-
integer intent(in) :: j
-
integer intent(in) :: j2
- GetChainLikeSummary(unit)
- GetFractionIndices(n, fraction_indices)
-
integer intent(in) :: n
-
integer :: fraction_indices(*)
- MakeSingleSamples(single_thin)
Make file of weight-1 samples by choosing samples with probability given by their weight
- MapParameters(invars)
-
real(gp) :: invars(1:ncols)
- PCA(n, pars, normparam_num, param_map)
Perform principle component analysis
In other words, get eigenvectors and eigenvalues for normalized variables
with optional (log) mapping
-
integer intent(in) :: n
-
integer intent(in) :: pars(n)
-
integer intent(in) :: normparam_num
-
character(LEN=*) intent(IN) :: param_map
- SortColData(bycol)
Sort coldata in order of likelihood
-
integer intent(in) :: bycol
- ThinData(fac, ix1, ix2)
Make thinned samples
-
integer intent(in) :: fac
-
integer intent(in), optional :: ix1
-
integer intent(in), optional :: ix2
- Write1DplotMatLab(aunit, j)
-
integer intent(in) :: aunit
-
integer intent(in) :: j
- Write2DPlotMATLAB(aunit, j, j2, DoLabelx, DoLabely, hide_ticklabels)
-
integer intent(in) :: aunit
-
integer intent(in) :: j
-
integer intent(in) :: j2
-
logical intent(in) :: DoLabelx
-
logical intent(in) :: DoLabely
-
logical intent(in), optional :: hide_ticklabels
- WriteMatlabLineLabels(F)
- WritePlotFileExport(unit, plot_col, plot_row, tag)
-
integer intent(in) :: unit
-
integer intent(in) :: plot_col
-
integer intent(in) :: plot_row
-
character(LEN=*) intent(in) :: tag
- WritePlotFileInit(unit, sm, subplot_size)
-
integer intent(in) :: unit
-
logical intent(in) :: sm
-
real intent(in) :: subplot_size
- WriteS(S)
-
character(LEN=*) intent(in) :: S
- WriteThinData(fname, cool)
-
character(LEN=*) intent(in) :: fname
-
real(mcp) intent(in) :: cool
-
real(mcp)
ConfidVal(ix, limfrac, upper, ix1, ix2)
-
integer intent(IN) :: ix
-
real(mcp) intent(IN) :: limfrac
-
logical intent(IN) :: upper
-
integer intent(IN), optional :: ix1
-
integer intent(IN), optional :: ix2
-
character(LEN=:) allocatable
dat_file_2D(j, j2, rootname)
-
integer intent(in) :: j
-
integer intent(in) :: j2
-
character(LEN=*) :: rootname
-
character(LEN= :) allocatable
dat_file_name(j, rootname)
-
integer intent(in) :: j
-
character(LEN=*) :: rootname
-
real(mcp)
dinvnorm(p)
-
character(LEN=:) allocatable
matlabLabel(i)
-
integer
MostCorrelated2D(i1, i2, direc)
-
integer intent(in) :: i1
-
integer intent(in) :: i2
-
integer intent(in) :: direc
-
logical
PlotContMATLAB(aroot, j, j2, aunit, DoShade)
-
character(LEN=*) intent(in) :: aroot
-
integer intent(in) :: j
-
integer intent(in) :: j2
-
integer intent(in) :: aunit
-
logical intent(in) :: DoShade
-
character(LEN=:) allocatable
python_param_array(params, num)
-
integer intent(in) :: params(:)
-
integer intent(in) :: num
-
character(LEN=:) allocatable
quoted_param_name(j)
-
character(LEN=:) allocatable
quoted_param_name_used(j)