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179 changes: 106 additions & 73 deletions po/R-ja.po
Original file line number Diff line number Diff line change
Expand Up @@ -2,271 +2,304 @@ msgid ""
msgstr ""
"Project-Id-Version: jaspProcess 0.95.0\n"
"POT-Creation-Date: 2025-07-19 04:00\n"
"PO-Revision-Date: 2026-05-21 07:11+0000\n"
"Last-Translator: Akira Harada <momoldo@gmail.com>\n"
"PO-Revision-Date: 2026-07-28 05:01+0000\n"
"Last-Translator: Koji Kosugi <kosugitti@gmail.com>\n"
"Language-Team: Japanese <https://hosted.weblate.org/projects/jasp/"
"jaspprocess-r/ja/>\n"
"Language: ja\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=UTF-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"X-Generator: Weblate 2026.6.dev0\n"
"X-Generator: Weblate 2026.8.dev0\n"

msgid "Process Analysis"
msgstr ""
msgstr "プロセス分析"

msgid "Model summary"
msgstr ""
msgstr "モデルの要約"

msgid "WAIC"
msgstr ""
msgstr "WAIC"

msgid "LOOIC"
msgstr ""
msgstr "LOOIC"

msgid "PPP"
msgstr ""
msgstr "PPP"

msgid "BIC"
msgstr ""
msgstr "BIC"

msgid "BIC weight"
msgstr ""
msgstr "BIC重み"

msgid "Estimate"
msgstr ""
msgstr "推定値"

msgid "SE"
msgstr ""
msgstr "SE"

msgid "LOO Difference"
msgstr ""
msgstr "LOO差"

msgid "ELPD"
msgstr ""
msgstr "ELPD"

msgid "Ratio"
msgstr ""
msgstr ""

msgid "n"
msgstr ""
msgstr "n"

msgid "Posterior"
msgstr ""
msgstr "事後分布"

msgid "%s%% Credible Interval"
msgstr ""
msgstr "%s%% 信用区間"

msgid "Mean"
msgstr "平均値"
msgstr "平均"

msgid "Median"
msgstr ""
msgstr "中央値"

msgid "SD"
msgstr ""
msgstr "SD"

msgid "Lower"
msgstr ""
msgstr "下限"

msgid "Upper"
msgstr ""
msgstr "上限"

msgid "R-hat"
msgstr ""
msgstr "R-hat"

msgid "ESS (bulk)"
msgstr ""
msgstr "ESS (bulk)"

msgid "ESS (tail)"
msgstr ""
msgstr "ESS (tail)"

msgid "Warning:"
msgstr ""
msgstr "警告:"

msgid "Path coefficients"
msgstr ""
msgstr "パス係数"

msgid "Label"
msgstr ""
msgstr "ラベル"

msgid "Prior"
msgstr ""
msgstr "事前分布"

msgid "Direct and indirect effects"
msgstr ""
msgstr "直接効果と間接効果"

msgid "Total effects"
msgstr ""
msgstr "全体効果"

msgid "Residual covariances"
msgstr ""
msgstr "残差共分散"

msgid "MCMC Plots"
msgstr ""
msgstr "MCMCプロット"

msgid "Warning: WAIC estimate unreliable -- at least one effective parameter estimate (p_waic) larger than 0.4. We recommend using LOO instead."
msgstr ""
"警告: WAIC の推定値は信頼できません -- 有効パラメータ数の推定値 (p_waic) が "
"0.4 を超えるものが少なくとも1つあります。代わりに LOO を使うことをおすすめし"
"ます。"

msgid "Warning: LOO estimate unreliable -- at least one observation with shape parameter (k) of the generalized Pareto distribution higher than 0.5."
msgstr ""
"警告: LOO の推定値は信頼できません -- 一般化パレート分布の形状パラメータ (k) "
"が 0.5 を超える観測値が少なくとも1つあります。"

msgid "WAIC and LOO cannot be calculated if no covariances are estimated for independent variables with missing data."
msgstr ""
"欠測のある独立変数について共分散を推定しない場合、WAIC と LOO は計算できませ"
"ん。"

msgid "Estimates might be biased -- %i divergent transitions after warmup."
msgstr ""
"推定値に偏りがある可能性があります -- ウォームアップ後に %i 件の発散遷移があ"
"りました。"

msgid "Bayesian Fraction of Missing Information (BFMI) was too low in %i chains -- the posterior distribution was not explored efficiently."
msgstr ""
"%i 本のチェーンで欠測情報のベイズ的割合 (BFMI) が低すぎました -- 事後分布が効"
"率よく探索されていません。"

msgid "The Hamiltonian Monte Carlo procedure might be inefficient -- %i transition exceeded the maximum tree depth."
msgstr ""
"ハミルトニアン・モンテカルロの手続きが非効率かもしれません -- %i 件の遷移が最"
"大ツリー深度を超えました。"

msgid "Low estimation accuracy for %1$s quantities -- the smallest Effective Sample Size (ESS) is %2$.2f < %3$1.0f."
msgstr ""
"%1$s の量について推定精度が低いです -- 有効サンプルサイズ(ESS)の最小値は "
"%2$.2f < %3$1.0f です。"

msgid "Inference possibly unreliable -- MCMC chains might not have converged; the largest R-hat is %1$.3f > %2$.2f."
msgstr ""
"推論の信頼性が低い可能性があります -- MCMCチェーンが収束していない可能性があ"
"ります。最大の R-hat は %1$.3f > %2$.2f です。"

msgid "Dependent variables must be continuous."
msgstr ""
msgstr "従属変数は連続でなければなりません。"

msgid "Hayes number"
msgstr ""
msgstr "Hayes 番号"

msgid "Model configuration number defined by Hayes (2022)."
msgstr ""
msgstr "Hayes (2022) が定義したモデル構成の番号です。"

msgid "AIC"
msgstr ""
msgstr "AIC"

msgid "AIC weight"
msgstr ""
msgstr "AIC重み"

msgid "Log-likelihood"
msgstr ""
msgstr "対数尤度"

msgid "df"
msgstr ""
msgstr "df"

msgid "Std. Error"
msgstr ""
msgstr "標準誤差"

msgid "z-value"
msgstr ""
msgstr "z値"

msgid "p"
msgstr ""
msgstr "p"

msgid "%s%% Confidence Interval"
msgstr ""
msgstr "%s%% 信頼区間"

msgid "Std. Estimate"
msgstr ""
msgstr "標準化推定値"

msgid "bias-corrected percentile"
msgstr ""
msgstr "バイアス修正パーセンタイル"

msgid "percentile"
msgstr ""
msgstr "パーセンタイル"

msgid "normal theory"
msgstr ""
msgstr "正規理論"

msgid "Moderated mediation index"
msgstr ""
msgstr "調整媒介指標"

msgid "Total"
msgstr ""
msgstr "合計"

msgid "Total indirect"
msgstr ""
msgstr "間接効果の合計"

msgid "Local tests"
msgstr ""
msgstr "局所的な検定"

msgid "Conditional independence tests"
msgstr ""
msgstr "条件付き独立性の検定"

msgid "Model did not converge."
msgstr ""
msgstr "モデルは収束しませんでした。"

msgid "RMSEA"
msgstr ""
msgstr "RMSEA"

msgid "&#967;&sup2;"
msgstr ""
msgstr "&#967;&sup2;"

msgid "Std. error"
msgstr ""
msgstr "標準誤差"

msgid "R-squared"
msgstr ""
msgstr "R二乗"

msgid "Conceptual path plot"
msgstr ""
msgstr "概念的なパス図"

msgid "Statistical path plot"
msgstr ""
msgstr "統計的なパス図"

msgid "Model syntax"
msgstr ""
msgstr "モデルのシンタックス"

msgid "Model must be a directed acyclic graph -- it must not contain loops."
msgstr ""
msgstr "モデルは有向非巡回グラフでなければなりません -- ループを含んではいけません。"

msgid "%1$s: Hayes configuration %2$s not implemented"
msgstr ""
msgstr "%1$s: Hayes の構成 %2$s は実装されていません"

msgid "Estimation failed because of an internal error."
msgstr ""
msgstr "内部エラーのため推定に失敗しました。"

msgid "Full Information Maximum Likelihood estimation only available with 'ML' or 'Auto' estimators. Please choose a different estimator or option for missing value handling."
msgstr ""
"完全情報最尤推定は 'ML' または 'Auto' の推定量でのみ使えます。別の推定量を選"
"ぶか、欠測値の扱いを変えてください。"

msgid "<li>Some implied model variances are > 1,000,000</li>"
msgstr ""
msgstr "<li>モデルが含意する分散に 1,000,000 を超えるものがあります</li>"

msgid "<li>Some implied model variances are at least a factor 1000 times larger than others</li>"
msgstr ""
msgstr "<li>モデルが含意する分散に、ほかの1000倍以上大きいものがあります</li>"

msgid "The information matrix could not be inverted. This may be a symptom that the model is not identified. Possible reasons: <ul>%s</ul>"
msgstr ""
"情報行列を逆行列にできませんでした。モデルが識別されていない兆候かもしれませ"
"ん。考えられる理由: <ul>%s</ul>"

msgid "At least one model is incomplete or no model is specified. Please add at least one model and complete specified models."
msgstr ""
"少なくとも1つのモデルが不完全であるか、モデルが指定されていません。モデルを少"
"なくとも1つ追加し、指定したモデルを完成させてください。"

msgid "The AIC, BIC and additional information criteria are only available with ML-type estimators."
msgstr ""
msgstr "AIC・BIC などの情報量規準は、ML系の推定量でのみ使えます。"

msgid "<b>Important</b>: Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified."
msgstr ""
"<b>重要</b>: パラメータ推定値を因果効果として解釈できるのは、すべての交絡効果"
"が考慮されており、かつ因果効果の向きが正しく指定されている場合だけです。"

msgid "Please check the model specification and lavaan syntax."
msgstr ""
msgstr "モデルの指定と lavaan のシンタックスを確認してください。"

msgid "Linear test type cannot be applied to factor variables. Choose a different test type or remove all factor variables from the model."
msgstr ""
"線形の検定は因子型の変数には適用できません。別の検定の種類を選ぶか、モデルか"
"ら因子型の変数をすべて外してください。"

msgid "The specified model does not imply any (conditional) independencies that can be tested."
msgstr ""
msgstr "指定されたモデルは、検定できる(条件付き)独立性を1つも含意しません。"

msgid "Partially standardized estimate because effect involves categorical predictor."
msgstr ""
msgstr "カテゴリカルな予測変数を含む効果のため、部分的に標準化された推定値です。"

msgid "Moderation effect estimates are based on mean-centered variables."
msgstr ""
msgstr "調整効果の推定値は、平均中心化した変数にもとづいています。"

msgid "Confidence intervals are %s bootstrapped. Standard errors, <em>z</em>-values and <em>p</em>-values are based on the delta method."
msgstr ""
"信頼区間は %s ブートストラップによるものです。標準誤差・ <em>z</em>値・ <em>"
"p</em>値はデルタ法にもとづいています。"

msgid "Not all bootstrap samples were successful: CI based on %.0f samples."
msgstr ""
"一部のブートストラップ標本が失敗しました: 信頼区間は %.0f 件の標本にもとづき"
"ます。"

msgid "Model does not contain moderated indirect effects for<br>which the moderated medation index can be calculated."
msgstr ""
"このモデルには、調整媒介指標を計算できる<br>調整された間接効果が含まれていま"
"せん。"

msgid "<em>p</em>-values adjusted for multiple comparisons with the %s method."
msgstr ""
msgstr "<em>p</em>値は %s 法で多重比較の調整をしています。"
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